Hypothesis Testing
Learn to set up the two competing claims (null and alternative hypotheses) that form the foundation of any hypothesis test.
Understand what a p-value actually measures and how to use it with a significance level to decide whether to reject the null hypothesis.
Discover the two ways a hypothesis test can go wrong and why controlling error rates matters in real-world decisions.
Grasp how effect size and statistical power influence your ability to detect a true effect and design reliable studies.