Part 9 (Hypothesis testing): t-tests and nonparametric tests

We are moving on in our course to statistical hypothesis testing, including t-tests and ANOVA. They are commonly used in statistics, but as a non-statistician it can be difficult to select the right one. Here we describe the t-tests and non-parametric equivalents, so you can learn, which one to use for your data analysis.


Part 7 (Basic Statistics): Normality

In statistics, we use normality tests to determine whether a data set follows a normal distribution or not, or to compute how likely an underlying random variable is to be normally distributed. We have already learned that with the choice between parametric and non-parametric tests it is very important to know whether our data follows a normal distribution or not. In this lesson you learn which statistical tests you can apply to check normality of your data.