Skills you'll gain

There are 9 modules in this course

In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests. Normally, you would not only learn about all these statistical concepts, but you would also be trained to calculate and generate these statistics yourself using freely available statistical software. Due to technical issues we are currently unable to do so. We will try to offer this again soon.

Exploring Data

Correlation and Regression

Probability

Probability Distributions

Sampling Distributions

Confidence Intervals

Significance Tests

Exam time!

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