Statistics (3 cr)

Evaluation scale

0-5

Content scheduling

Opintojakson sisältö on jaettu teemaviikkoihin.

Opintojakso koostuu seuraavista teemoista:
1. Erilaiset aineistot ja tutkimukset; datan kerääminen (viikko 2)
2. Aineiston tiivistäminen taulukoksi (viikot 3 ja 4)
3. Graafisen esittämisen perusteet (viikot 5 ja 6)
4. Tunnuslukuja (viikko 7)
5. Riippuvuus ja korrelaatio, hajontakuvio (viikko 8)
6. Riippuvuuden mallintaminen (viikko 9)
7. Aikasarjat (viikko 10)

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

Location and time

Etäohjaukset Zoomissa.

Materials

Kimmo Vehkalahti (2014): Kyselytutkimuksen mittarit ja menetelmät. Finn Lectura.

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

Kaikki kurssimateriaali ja harjoitustehtävät ovat ladattavissa Moodlesta. (https://moodle.jamk.fi)

Teaching methods

Kurssilla opiskellaan itsenäisesti viikon materiaali ja sen pohjalta tehdään tehtävät. Viikon tehtäviin saa tarvittaessa apua Moodlessa ja viikoittaisessa etäohjauksessa.

Exam schedules

12.4. ja 19.4. alkavilla viikoilla.

Student workload

Opintojakso suoritetaan harjoitustehtävien ja verkossa tehtävän loppukokeen avulla.

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.