Study Guide

Objective

You can analyse quantitative data and report statistical outputs.

You are able to read and critically interprete statistics and statistical reports.

You are able to use statistical software (SPSS) to analyse data.

Content

What are the principals of quantitative research?

How to calculate statistics (e.g. central tendency and dispersion)?

How to measure and describe statistical relationship between two variables?

How to analyse and describe data using statistical software?

What are the phases of statistical decision theory?

How to execute statistical tests?

Materials

The course material consists of lecture notes and materials posted in the Learn platform. The following textbook is recommended as a supplementary source.
-David S. Moore, George P. McCabe, Bruce A. Craig: Introduction to the Practice of Statistics, W. H. Freeman and Company, New York (Edition for use outside the USA and Canada)

Teaching methods

Individual study tracks can be negotiated with the instructor. It will be available only if the student can provide sufficient basis for such implementation. There can be a pre-test to assess the students’ ability and suitability to complete the course individually.

Employer connections

The tasks will support students’ own thesis work. Tasks can be part of the students’ own project to support development work at their own organization if they are employed. Guest lecturers and company related projects are possible from existing RDI projects at XAMK or sourced locally.

Exam schedules

There is no written exam at the end. There will be maximum five theme tasks corresponding to the pre-defined module in the Learn platform.

International connections

Students have possibilities to complete theme tasks in international and multicultural groups. The case assigned for the theme specific project report can involve collaborating with SMEs aiming to internationalize abroad.

Student workload

The maximum five theme specific tasks will all carry equal weights. The theme tasks will be completed concurrently with the discussion of the theme background material. The tasks deadline will be evenly spread throughout the duration of the course to balance the student workload.

Content scheduling

What are the principals of quantitative research?

How to calculate statistics (e.g. central tendency and dispersion)?

How to measure and describe statistical relationship between two variables?

How to analyse and describe data using statistical software?

What are the phases of statistical decision theory?

How to execute statistical tests?

Further information

Please contact jagat.kunwar@xamk.fi directly for further information.

Evaluation scale

1-5

Assessment methods and criteria

Students can

a. look for information in the key information sources of the field

b. identify interrelated tasks

c. use the key models, methods, software and techniques of the professional field

d. work as team members in a goal-oriented way

e. justify their actions according to the ethical principles of the professional field