05 Assumptions

1. Normally distributed data

2. Homogeneity of variance (variance should be the same throughout the data)

3. Interval data (at least)

4. Independence

   —> repeated measure design: we expect scores in the experimental conditions to be non-independent for a given participant, but behavior between different participants should be independent

—> Central limit theorem => if the sample data are approximately normal then the sampling distribution should also be (N > 30)

As samples get larger (N > 30), the sampling distribution has a normal distribution with a mean equal to the population mean and a standard deviation