Opetussuunnitelmat

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

Oppimateriaali ja suositeltava kirjallisuus

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 schedules

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.

Vaihtoehtoiset suoritustavat

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

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

Evaluation scale

0-5

Arviointikriteerit, tyydyttävä (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.

Arviointikriteerit, hyvä (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.

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.