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Statistics (3 cr)

Code: HL00BD10-3007

General information


Enrollment
03.08.2020 - 30.08.2020
Registration for the implementation has ended.
Timing
31.08.2020 - 18.12.2020
Implementation has ended.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Face-to-face
Unit
School of Business
Campus
Main Campus
Teaching languages
Finnish
Degree programmes
Bachelor's Degree Programme in Team Academy
Bachelor's Degree Programme in Business Management
Teachers
Sara Taskinen
Groups
HTA20S1
Tiimiakatemian tutkinto-ohjelma
ZJA20SHPT
Avoin AMK, tiimiakatemia, AMK-polku
Course
HL00BD10
No reservations found for realization HL00BD10-3007!

Evaluation scale

0-5

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

Leila Karjalainen (2015): Tilastotieteen perusteet. Pii-kirjat

Metsämuuronen (2011): Tutkimuksen tekemisen perusteet ihmistieteissä: opiskelijalaitos. E-kirja: janet-finna.fi

Teaching methods

Contact lessons
Excercises
Possible exam

Student workload

Contact lessons 23h
Independent work 58h
Total 81h

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

Avoin AMK (Open UAS) 10

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