Statistics (3 cr)
Code: HL00BD10-3027
General information
- Enrollment
-
01.08.2024 - 22.08.2024
Registration for the implementation has ended.
- Timing
-
26.08.2024 - 18.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 0 cr
- Virtual portion
- 3 cr
- 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
-
HTL24KIYTradenomi (AMK), liiketalous, monimuotototeutus
-
ZJAHTL24KIYAvoin AMK, lita, AMK-polut, liiketalous monimuoto
- Course
- HL00BD10
Realization has 7 reservations. Total duration of reservations is 9 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 03.09.2024 time 18:00 - 19:30 (1 h 30 min) |
Tilastotiede HL00BD10-3027 |
Online
|
Tue 17.09.2024 time 17:30 - 18:45 (1 h 15 min) |
Tilastotiede HL00BD10-3027 |
Online
|
Tue 01.10.2024 time 17:30 - 18:45 (1 h 15 min) |
Tilastotiede HL00BD10-3027 |
Online
|
Tue 29.10.2024 time 17:30 - 18:45 (1 h 15 min) |
Tilastotiede HL00BD10-3027 |
Online
|
Tue 12.11.2024 time 17:30 - 18:45 (1 h 15 min) |
Tilastotiede HL00BD10-3027 |
Online
|
Tue 26.11.2024 time 17:30 - 18:45 (1 h 15 min) |
Tilastotiede HL00BD10-3027 |
Online
|
Tue 10.12.2024 time 17:30 - 18:45 (1 h 15 min) |
Tilastotiede HL00BD10-3027 |
Online
|
Evaluation scale
0-5
Content scheduling
The course includes nine topics. Each topic lasts for 1-2 weeks including contact lessons and weekly exercises.
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
Materials
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 schedules
More information is given in the end of the course.
Completion alternatives
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
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.
Further information
The course will be graded based on learning assignments and final test.