Chapter 1: Sampling and Data
1.1 Definitions of Statistics, Probability, and Key Terms
1.2 Data, Sampling, and Variation in Data and Sampling
1.3 Frequency, Frequency Tables, and Levels of Measurement
1.4 Experimental Design and Ethics
1.5 Data Collection Experiment
1.6 Sampling Experiment
Chapter 2: Descriptive Statistics
2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
2.2 Histograms, Frequency Polygons, and Time Series Graphs
2.3 Measures of the Location of the Data
2.4 Box Plots
2.5 Measures of the Center of the Data
2.6 Skewness and the Mean, Median, and Mode
2.7 Measures of the Spread of the Data
2.8 Descriptive Statistics
Chapter 3: Probability Topics
3.1 Terminology
3.2 Independent and Mutually Exclusive Events
3.3 Two Basic Rules of Probability
3.4 Contingency Tables
3.5 Tree and Venn Diagrams
3.6 Probability Topics
Chapter 4: Discrete Random Variables
4.1 Probability Distribution Function (PDF) for a Discrete Random Variable
4.2 Mean or Expected Value and Standard Deviation
4.3 Binomial Distribution
4.4 Geometric Distribution
4.5 Hypergeometric Distribution
4.6 Poisson Distribution
4.7 Discrete Distribution (Playing Card Experiment)
4.8 Discrete Distribution (Dice Experiment Using Three Regular Dice)
Chapter 5: Continuous Random Variables
5.1 Continuous Probability Functions
5.2 The Uniform Distribution
5.3 The Exponential Distribution
5.4 Continuous Distribution
Chapter 6: The Normal Distribution
6.1 The Standard Normal Distribution
6.2 Using the Normal Distribution
6.3 Normal Distribution (Lap Times)
6.4 Normal Distribution (Pinkie Length)
Chapter 7: The Central Limit Theorem
7.1 The Central Limit Theorem for Sample Means (Averages)
7.2 The Central Limit Theorem for Sums
7.3 Using the Central Limit Theorem
7.4 Central Limit Theorem (Pocket Change)
7.5 Central Limit Theorem (Cookie Recipes)
Chapter 8: Confidence Intervals
8.1 A Single Population Mean using the Normal Distribution
8.2 A Single Population Mean using the Student t Distribution
8.3 A Population Proportion
8.4 Confidence Interval (Home Costs)
8.5 Confidence Interval (Place of Birth)
8.6 Confidence Interval (Women's Heights)
Chapter 9: Hypothesis Testing with One Sample
9.1 Null and Alternative Hypotheses
9.2 Outcomes and the Type I and Type II Errors
9.3 Probability Distribution Needed for Hypothesis Testing
9.4 Rare Events, the Sample, Decision and Conclusion
9.5 Additional Information and Full Hypothesis Test Examples
9.6 Hypothesis Testing of a Single Mean and Single Proportion
Chapter 10: Hypothesis Testing with Two Samples
10.1 Two Population Means with Unknown Standard Deviations
10.2 Two Population Means with Known Standard Deviations
10.3 Comparing Two Independent Population Proportions
10.4 Matched or Paired Samples
10.5 Hypothesis Testing for Two Means and Two Proportions
Chapter 11: The Chi-Square Distribution
11.1 Facts About the Chi-Square Distribution
11.2 Goodness-of-Fit Test
11.3 Test of Independence
11.4 Test for Homogeneity
11.5 Comparison of the Chi-Square Tests
11.6 Test of a Single Variance
11.7 Lab 1: Chi-Square Goodness-of-Fit
11.8 Lab 2: Chi-Square Test of Independence
Chapter 12: Linear Regression and Correlation
12.1 Linear Equations
12.2 Scatter Plots
12.3 The Regression Equation
12.4 Testing the Significance of the Correlation Coefficient
12.5 Prediction
12.6 Outliers
12.7 Regression (Distance from School)
12.8 Regression (Textbook Cost)
12.9 Regression (Fuel Efficiency)
Chapter 13: F Distribution and One-Way ANOVA
13.1 One-Way ANOVA
13.2 The F Distribution and the F-Ratio
13.3 Facts About the F Distribution
13.4 Test of Two Variances
13.5 Lab: One-Way ANOVA
Appendix A Review Exercises (Ch 3-13)
Appendix B Practice Tests (1-4) and Final Exams
Appendix C Data Sets
Appendix D Group and Partner Projects
Appendix E Solution Sheets
Appendix F Mathematical Phrases, Symbols, and Formulas
Appendix G NOTEs for the TI-83, 83+, 84, 84+ Calculators
Appendix H Tables
