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STAT 301 Introduction

Chapter 0: The Big Picture

The Big Picture: Why Study Statistics?

At the beginning

1. At the Beginning

Working with data

2. Some Important Concepts
3. Producing Data
4. Looking at Data — Distributions

Making statistical inference

5. Sampling Distributions
6. Confidence Intervals and Significance Tests
7. Inference for Means
8. One-Way ANOVA
9. Two-Way ANOVA

Modeling linear regression

10. Looking at Data — Relationships
11. Least-Squares Regression
12. Inference for Regression
13. Multiple Regression

Additional Topics

14. Two-Way Tables
15. Inference for a Single Proportion
16. Special Topic: Simple Least Squares Regression in Matrix Form

Repository
Open issue

Index

By Frank (Chenzhong) Wu

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