1. Understand Hypothesis Testing Basics: Learn the foundational principles of hypothesis testing, including its purpose and application in statistical analysis.

2. Define Null and Alternative Hypotheses: Identify and differentiate between the null hypothesis (H0) and the alternative hypothesis (H1) in various scenarios.

3. Apply Significance Level Concepts: Explore the role of significance levels (alpha) in determining the threshold for rejecting the null hypothesis.

4. Interpret P-Value Results: Analyse P-values to assess the strength of evidence against the null hypothesis and make informed conclusions.