Statistics 1 Part 2: Statistical Methods

Statistics Part 2 deepens the methods from the first part. You'll move from descriptive statistics (what the data shows) to inferential statistics (what the data proves about the larger population).

Hypothesis testing is the engine. You'll learn two rounds of testing—different tools for different questions—then chi-squared tests for categorical data and contingency tables. Sampling design matters; it determines whether your test's conclusion holds in the real world or is an artifact of how you collected data.

Causation is harder than correlation. The course examines causal reasoning: when can you claim one variable causes another, and when are you just observing association? Finally, regression: how to model relationships between variables and use past patterns to predict future outcomes.

Designed for management, economics, and social science applications. You'll spend time on interpretation—what the numbers mean for decisions—not just computation. Ideal for professionals who need to read statistical tables and make decisions based on evidence.