Chapter 1: Describing Data with Graphs

1. Building a Dotplot
    
2. Building a Histogram
    
3. Flipping Fair Coins
    

Chapter 2: Describing Data with Numerical Measures

1. How Extreme Values Affect the Mean and Median
    
2. Why Divide by n - 1?
    
3. Building a Box Plot 

Chapter 3: Describing Bivariate Data

1. Building a Scatterplot
    
2. Correlation and the Scatterplot
    
3. Exploring Correlation
    
4. How a Line Works

Chapter 4: Probability and Probability Distributions

1. Tossing Dice
    
2. Flipping Fair Coins
    
3. Flipping Weighted Coins
    

Chapter 5: Several Useful Discrete Distributions

1. Calculating Binomial Probabilities
    
2. Flipping Fair Coins
    
3. Flipping Weighted Coins
    

Chapter 6: The Normal Probability Distribution

1. Visualizing Normal Curves
    
2. Normal Distribution Probabilities
    
3. Normal Probabilities and z-Scores
    
4. Normal Approximation to Binomial Probabilities
    

Chapter 7: Sampling Distributions

1. The Central Limit Theorem
    

2. Normal Probabilities for Means
    

Chapter 8: Large-Sample Estimation

1. Interpreting Confidence Intervals
    
2. Exploring Confidence Intervals
    

Chapter 9: Large-Sample Tests of Hypotheses

1. Large Sample Test of a Population Mean
    
2. The Power of a z-Test
    

Chapter 10: Inference from Small Samples

1. Student's t Probabilities
    
2. Comparing t and z
    
3. Small Sample Test of a Population Mean
    
4. Two Sample t Test: Independent Samples
    
5. Chi-Square Probabilities
    
6. F Probabilities
    
7. Interpreting Confidence Intervals
    

Chapter 11: The Analysis of Variance

1. Student's t Probabilities
    
2. F Probabilities
    

Chapter 12: Linear Regression and Correlation

1. Building a Scatterplot
    
2. The Method of Least Squares
    
3. t Test for the Slope
    
4. Exploring Correlation
    
5. How a Line Works
    
6. Correlation and the Scatterplot
    

Chapter 13: Multiple Regression Analysis

1. Student t Probabilities
    
2. F Probabilities
    

Chapter 14: Analysis of Categorical Data

1. The Goodness-of-Fit Test
    
2. Chi-Square Test of Independence
    
3. Chi-Square Probabilities
    

Appendix I

1. Cumulative Binomial Probabilities: Table 1
    
2. Normal Curve Areas: Table 3.
    
3. Critical Values of t: Table 4
    
4. Critical Values of Chi-Square: Table 5
    
5. Percentage Points of the F Distribution: Table 6
    

Report any problems, comments, or suggestions to Gary.McClelland@colorado.edu