1. Understand Hypothesis Testing Basics: Gain a foundational understanding of hypothesis testing, including key concepts and their applications in statistical analysis.

2. Apply Binomial Test Methods: Learn how to use binomial tests to evaluate hypotheses, especially for small sample sizes, with precise statistical accuracy.

3. Explore Proportion Testing Techniques: Discover the use of proportion tests, such as the Z test, for analysing large sample data with normal approximations.

4. Analyse Categorical Data Relationships: Examine methods like chi-square tests to assess relationships and independence between categorical variables in datasets.