Week 1: Introduction to Inferential Statistics
Welcome to Week 1! We start our journey into inferential statistics. This week lays the groundwork by explaining how we can make statements about a population based on a sample.
Topics Covered
- Population vs. Sample
- Sampling Distributions
- Central Limit Theorem (CLT)
- Point Estimation
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.