LESSON 0. INTRODUCTION: DEFINITION AND USES OF STATISTICS
PART I
LESSON 1.LOOKING AT DATA: DISTRIBUTIONS
Displaying Distributions
Describing Distributions
The Normal Distributions
LESSON 2. LOOKING AT DATA: RELATIONSHIPS
Scatterplots
Correlation
Least-Squares Regression
Cautions about Regression and Correlation
The question of Causation
LESSON 3. PRODUCING DATA
First Steps
Design of Experiments
Sampling Design
Toward Statistical Inference
PART II
LESSON 4. THE STUDY OF RANDOMNESS
Probability Models
Random Variables
Mean and Variances of Random Variables
Probability Laws
LESSON 5. FROM PROBABILITY TO INFERENCE
Counts and Proportions
Sample Means
PART III
LESSON 6. INTRODUCTION TO INFERENCE
Estimating with Confidence
Tests of Significance
Use and Abuse of Tests
LESSON 7. INFERENCE FOR DISTRIBUTIONS
Inference for the Mean of a Population >
Comparing Two Means
LESSON 8. INFERENCE FOR COUNT DATA
Inference for a Single Proportion
Comparing Two Proportions
PART IV
LESSON 9. INFERENCE FOR CONTINGENCY TABLES
Data Analysis for Two-Way Tables
Two-way Tables
LESSON 10. INFERENCE FOR REGRESSION
Simple Linear Regresion
LESSON 11. ANALYSIS OF VARIANCE
One-Way Analysis of Variance
Overview of Statistics
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Course Syllabus
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Statistical Computing
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