**Module 1: Data and the Science of Statistics**

- 1.1 The Discipline of Statistics
- 1.2 Types of Statistics
- 1.3 Sample Data vs. Population Data
- 1.4 Types of Data
- 1.5 Levels of Measurement

**Module 2: Describing Attributes of a Data Set**

- 2.1 Summarizing Qualitative Data
- 2.2 Summarizing Quantitative Data
- 2.3 Summation Notation
- 2.4 Measures of Center
- 2.5 Measures of Dispersion
- 2.6 Chebyshev's Theorem
- 2.7 The Empirical Rule
- 2.8 Relative Position
- 2.9 Box Plots and Symmetry

**Module 3: A Survey of Probability**

- 3.1 Basic Probability
- 3.2 Counting Techniques
- 3.3 Addition Rule of Probability
- 3.4 Conditional Rule of Probability
- 3.5 Multiplication Rule of Probability
- 3.6 Using Complements

**Module 4: Discrete Random Variables**

- 4.1 Probability Distributions for Discrete Random Variables
- 4.2 Expected Value, Variance, and Standard Deviation for Discrete Random Variables
- 4.3 The Binomial Probability Distribution
- 4.4 The Poisson Probability Distribution

Module 5: Continuous Random Variables

Module 5: Continuous Random Variables

- 5.1 Continuous Random Variables
- 5.2 The Normal Distribution
- 5.3 Applications of the Normal Distribution
- 5.4 Normal Approximation to the Binomial Distribution

**Module 6: Point Estimators and the Sampling Distribution of the Sample Mean**

- 6.1 Point Estimators and Sampling Distributions
- 6.2 The Central Limit Theorem

**Module 7: Interval Estimators**

- 7.1 Interval Estimate of the Population Mean with a Known Population Standard Deviation
- 7.2 Sample Size Requirements for Estimating the Population Mean
- 7.3 Interval Estimate of the Population Mean with an Unknown Population Standard Deviation
- 7.4 Interval Estimate of the Population Proportion
- 7.5 Sample Size Requirements for Estimating the Population Proportion

**Module 8: Hypothesis Testing**

- 8.1 Testing Hypothesis about a Population Mean with a Known Population Standard Deviation
- 8.2 Testing Hypothesis about a Population Mean with an Unknown Population Standard Deviation
- 8.3 Testing Hypothesis about a Population Proportion

**Module 9: Two Sample Procedures**

- 9.1 Comparisons of Two Population Means with Known Population Standard Deviations Based on Independent Samples
- 9.2 Comparisons of Two Population Means with Unknown Population Standard Deviations Based on Independent Samples with Equal Variances
- 9.3 Comparisons of Two Population Means with Unknown and Assumed Unequal Population Variances Based on Independent Samples
- 9.4 Inferences about Mean Differences (Dependent Samples)
- 9.5 Comparisons of Two Population Proportions Based on Independent Sampling
- 9.6 Comparisons of Two Population Variances Based on Independent Samples

**Module 10: Chi-Square Procedures**

- 10.1 The Chi-Square Goodness-of-Fit Test
- 10.2 The Chi-Square Test of Independence

**Module 11: Linear Models**

- 11.1 ANOVA for Completely Randomized Design Experiments
- 11.2 The Coefficient of Correlation
- 11.3 Creating the Least Squares Equation
- 11.4 Making Inference about the Slope of the Regression Line
- 11.5 The Coefficient of Determination
- 11.6 Confidence and Prediction Intervals for Y