1. What are the steps involved in hypothesis testing?

2. How would you define a p-value?

3. Explain the following statement with an example: 'Every causal relationship is correlational, but not every correlation is causal'

4. What is the value of 'alpha'?

Section 2: True or false

1. A correlation analysis is exactly the same as a regression analysis.

2. The Kruskal-Wallis test is the non-parametric version of a t-test

3. p-value is only relevant to some statistical tests such as the 't-test' and 'test for correlation'

4. the correlation coefficient, r, can a take a value between -2 and +2