Week 2: Hypothesis Testing
This week we dive into the heart of inferential statistics: Hypothesis Testing. We will learn how to formally test claims about a population.
Topics Covered
- Null () vs. Alternative () Hypotheses
- Type I and Type II Errors
- Significance Level ()
- P-values and Critical Regions
All Chapters in this Book
Lesson 1
Week 1: Introduction to Inferential Statistics
Understanding the transition from descriptive to inferential statistics, sampling distributions, and the Central Limit Theorem.
Lesson 2
Week 2: Hypothesis Testing
The core framework for making decisions based on data. Null and Alternative hypotheses, p-values, and significance levels.
Lesson 3
Week 3: Regression Analysis
Modeling relationships between variables. Simple Linear Regression, correlation, and prediction.
Lesson 4
Week 4: ANOVA
Comparing means across multiple groups. One-way ANOVA and the F-distribution.