Keywords

General description

The course covers descriptive statistics and basics of statistical inference.

Learning outcomes

After completing the course the students are familiar with descriptive statistics, measures of association and the basic principles of statistical inference. They are familiar with and have used the SPSS statistical software to analyze real datasets.

Contents

- Structure of data matrix, types of variables
- Descriptive statistics: frequency distributions, measures of central tendency and variation
- Measures of association: correlation, crosstabulation, group means/medians
- Introduction to statistical inference: testing and confidence intervals
- Ideas of sample size calculations
- Use of SPSS statistical program

Teaching language

Evaluation

Study materials

Altman D.G. Practical statistics for medical research. Chapman & Hall.

Moore D:  Statistics : concepts and controversies

Moore D, McCabe G: Introduction to the practise of statistics

Further information

Minimum number of students for the course to be organized: 8.
The quota for Open University students each Academic Year is 3.

Belongs to following study modules

2018–2019

Teaching

Archived Teaching Schedule. Please refer to current Teaching Shedule.

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