Introduction to Statistical Analysis

Course description

This lecture provides a refresher on the basics of undertaking quantitatively orientated research with a major focus on statistical analysis. Issues related to sampling, measurement as well as data collection and processing are highlighted. This is followed by a brief introduction to descriptive statistics. The major part of the lecture covers topics related to inferential statistics such as hypothesis testing, statistical significance, effect size and power analysis. Finally, advice regarding the selection of appropriate statistical methods for the most typical research questions is given.

The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event.

Attachments

Type of course

Web conference

Presenters

Who should attend

Staff and Research Higher Degree Students

What you will learn

• A brief introduction to a framework of undertaking quantitatively orientated research
• Measures of central tendency and dispersion
• Standard errors and confidence intervals
• Introduction to hypothesis testing, including interpreting p-values
• Concepts of effect size and power
• How to select which statistical method is appropriate for typical research questions

Prerequisites / assumed knowledge