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StatisticsLaajuus (3 cr)

Code: HL00BD10

Credits

3 op

Teaching language

  • Finnish

Responsible person

  • Teija Koskinen
  • Sara Taskinen, Tiimiakatemia

Objective

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Assessment criteria, satisfactory (1)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Assessment criteria, good (3)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Assessment criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.08.2024 - 22.08.2024

Timing

26.08.2024 - 18.12.2024

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Business

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
Teacher in charge

Teija Koskinen

Groups
  • HTL24KIY
    Tradenomi (AMK), liiketalous, monimuotototeutus
  • ZJAHTL24KIY
    Avoin AMK, lita, AMK-polut, liiketalous monimuoto

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: lessons in every two weeks.
Learning assignments and an exam.

Exam dates and retake possibilities

More information is given in the end of the course.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 20.05.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
Teacher in charge

Riikka Ahlgren

Groups
  • ZJAHTL23S1
    Avoin AMK, lita, AMK-polut, liiketalous päivätoteutus
  • HTL23SA
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 20.05.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
Teacher in charge

Riikka Ahlgren

Groups
  • ZJAHTL23S1
    Avoin AMK, lita, AMK-polut, liiketalous päivätoteutus
  • HTL23SB
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

20.11.2023 - 04.01.2024

Timing

08.01.2024 - 20.05.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
Teacher in charge

Riikka Ahlgren

Groups
  • HTL23SC
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Heli Kauppinen
Groups
  • HTL23KIY
    Tradenomi (AMK), liiketalous, monimuotototeutus
  • ZJAHTL23KIY
    Avoin AMK, lita, AMK-polut, liiketalous monimuoto

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Further information for students

Avoin amk 25 (sisältyy max-määrään)

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 50

Degree programmes
  • Bachelor's Degree Programme in Team Academy
Teachers
  • Sara Taskinen
Groups
  • HTA23S1
    Tiimiakatemia (AMK)
  • ZJAHTA23S1
    Avoin AMK, AMK-polut, Tiimiakatemia

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

Avoin amk 5 (sisältyy max-määrään)

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 19.05.2023

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Business

Teaching languages
  • Finnish
Seats

0 - 60

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Heli Kauppinen
Teacher in charge

Riikka Ahlgren

Groups
  • ZJAHTL22SIY
    Avoin AMK, lita, AMK-polut, liiketalous monimuoto
  • HTL22SIY
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Online teaching: weekly online lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Lessons 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 19.05.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
Teacher in charge

Riikka Ahlgren

Groups
  • HTL22SA
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.11.2022 - 05.01.2023

Timing

09.01.2023 - 19.05.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
Teacher in charge

Riikka Ahlgren

Groups
  • HTL22SB
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Teaching languages
  • Finnish
Seats

0 - 50

Degree programmes
  • Bachelor's Degree Programme in Team Academy
Teachers
  • Sara Taskinen
Groups
  • HTA22S1
    Tiimiakatemia (AMK)
  • ZJAHTA22S1
    Avoin AMK, AMK-polut, Tiimiakatemia

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
Teacher in charge

Riikka Ahlgren

Groups
  • HTL22SC
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.11.2021 - 09.01.2022

Timing

03.01.2022 - 20.05.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Teaching languages
  • Finnish
Seats

0 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
  • Riikka Ahlgren
Groups
  • HTL21SA
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.11.2021 - 09.01.2022

Timing

03.01.2022 - 20.05.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Sara Taskinen
  • Riikka Ahlgren
Groups
  • HTL21SB
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.

Enrollment

01.11.2021 - 09.01.2022

Timing

03.01.2022 - 20.05.2022

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 60

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Heli Kauppinen
  • Riikka Ahlgren
Groups
  • HTL21SIY
    Liiketalouden tutkinto-ohjelma (AMK)
  • ZJA21SHPM
    Avoin AMK, liiketalous, AMK-polku, monimuoto

Objectives

The object of the course
Having taken this course you understand the meaning of statistics and the possibilities of statistics in developing work. You are able to utilize statistical methods in research and development.

Course competences
Operating in a workplace
Business competence

The learning objectives of the course
After completing this course, you will understand the possibilities of statistical methods on developing work. You know basic concepts related to data gathering, data sets and variables. You will know the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You will be able to utilize the MS Excel and possibly another statistical program.

Content

1. Data sets: how to gather data and basics of making a questionnaire
2. What statistics tell: how statistics can be utilized in decision making
3. Summarizing results as a table
4. Graphical visualization of the results
5. Descriptive statistics: location and deviation, correlation
6. Simple analysis methods: modelling dependency and time series

Learning materials and recommended literature

All necessary material will be shared via Moodle.

Literature:
Ware, William B., Ferron, John M., Miller, Barbara M., Miller, Barbara Manning (2013): Introductory Statistics

Teaching methods

Contact teaching: weekly lessons.
Learning assignments and an exam.

Exam dates and retake possibilities

The exam is held during the contact lessons at the end of the course. The time and date of the exam is agreed on the first contact lesson. The renewal of the exam is organised on the following week.

Alternative completion methods

You have a right to apply for recognition of you prior learning. See the degree regulations and JAMK intranet for details.

Student workload

Contacts 22 h
Independent studying 59 h
Total 81 h

Content scheduling

The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.

Further information for students

The course will be graded based on learning assignments and final test.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You recognize some basic concepts related to data gathering, data sets and variables. You know adequately the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Satisfactory 2
You know some basic concepts related to data gathering, data sets and variables. You know at satisfactory level the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results with guidance. You recognize the importance of statistics in research and decision making.

Evaluation criteria, good (3-4)

Good 3
You know reasonably well basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You recognize the importance of statistics in research and decision making.

Very good 4
You know well the basic concepts related to data gathering, data sets and variables. You know well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can utilize statistics in research and decision making.

Evaluation criteria, excellent (5)

Excellent 5
You know very well the basic concepts related to data gathering, data sets and variables. You know very well the principles of making a questionnaire. You can calculate and interpret descriptive statistics, and know the basics of making quality tables and visualization of the results. You can independently utilize statistics in research and decision making.