Introduction to Stats

Chapter 1: Sampling and Data5

• SectionSlides
• 1.1 Definitions of Statistics, Probability, and Key TermsSelf-pacedOpen
• 1.2 Data, Sampling, and Variation in Data and SamplingSelf-pacedOpen
• 1.3 Frequency, Frequency Tables, and Levels of MeasurementSelf-pacedOpen
• 1.4 Experimental Design and EthicsSelf-pacedOpen
• 1.5 Data Collection ExperimentSelf-pacedOpen

Chapter 2: Descriptive Statistics8

• SectionSlides
• 2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar GraphsSelf-pacedOpen
• 2.2 HistogramsSelf-pacedOpen
• 2.3 Measures of the Location of the DataSelf-pacedOpen
• 2.4 Box PlotsSelf-pacedOpen
• 2.5 Measures of the Center of the DataSelf-pacedOpen
• 2.6 Skewness and the Mean, Median, and ModeSelf-pacedOpen
• 2.7 Measures of the Spread of the DataSelf-pacedOpen
• 2.8 Descriptive StatisticsSelf-pacedOpen

Chapter 3: Probability Topics7

• SectionSlides
• 3.1 TerminologySelf-pacedOpen
• 3.2 Independent and Mutually Exclusive EventsSelf-pacedOpen
• 3.3 Two Basic Rules of ProbabilitySelf-pacedOpen
• Example 3.3.5 — A Screening Test with a Known Miss Rate—
• 3.4 Contingency TablesSelf-pacedOpen
• 3.5 Tree and Venn DiagramsSelf-pacedOpen
• 3.6 Probability TopicsSelf-pacedOpen

Chapter 4: Random Variables6

• SectionSlides
• 4.1 Probability Distribution Function (PDF) for a Discrete Random VariableSelf-pacedOpen
• 4.2 Mean or Expected Value and Standard DeviationSelf-pacedOpen
• 4.3 Binomial DistributionSelf-pacedOpen
• 4.4 Discrete Distribution (Playing Card Experiment)Self-pacedOpen
• 4.5 Continuous Probability FunctionsSelf-pacedOpen
• 4.6 Continuous DistributionSelf-pacedOpen

Chapter 5: The Normal Distribution3

• SectionSlides
• 5.1 The Standard Normal DistributionSelf-pacedOpen
• 5.2 Using the Normal DistributionSelf-pacedOpen
• 5.3 Normal Distribution (Lap Times)Self-pacedOpen

Chapter 6: The Central Limit Theorem4

• SectionSlides
• 6.1 The Central Limit Theorem for Sample Means (Averages)—
• 6.2 The Central Limit Theorem for Sums—
• 6.3 Using the Central Limit Theorem—
• 6.4 Central Limit Theorem (Pocket Change)—

Chapter 7: Confidence Intervals4

• SectionSlides
• 7.1 A Single Population Mean using the Normal Distribution—
• 7.2 A Single Population Mean using the Student t Distribution—
• 7.3 A Population Proportion—
• 7.4 Confidence Interval (Home Costs)—

Chapter 8: Hypothesis Testing with One Sample6

• SectionSlides
• 8.1 Null and Alternative Hypotheses—
• 8.2 Outcomes and the Type I and Type II Errors—
• 8.3 Probability Distribution Needed for Hypothesis Testing—
• 8.4 Rare Events, the Sample, Decision and Conclusion—
• 8.5 Additional Information and Full Hypothesis Test Examples—
• 8.6 Hypothesis Testing of a Single Mean and Single Proportion—

Chapter 9: Hypothesis Testing with Two Samples4

• SectionSlides
• 9.1 Two Population Means with Unknown Standard Deviations—
• 9.2 Two Population Means with Known Standard Deviations—
• 9.3 Comparing Two Independent Population Proportions—
• 9.4 Matched or Paired Samples—

Chapter 10: The Chi-Square Distribution8

• SectionSlides
• 10.1 Facts About the Chi-Square Distribution—
• 10.2 Goodness-of-Fit Test—
• 10.3 Test of Independence—
• 10.4 Test for Homogeneity—
• 10.5 Comparison of the Chi-Square Tests—
• 10.6 Test of a Single Variance—
• 10.7 Lab 1: Chi-Square Goodness-of-Fit—
• 10.8 Lab 2: Chi-Square Test of Independence—

Chapter 11: Linear Regression and Correlation9

• SectionSlides
• 11.1 Linear Equations—
• 11.2 Scatter Plots—
• 11.3 The Regression Equation—
• 11.4 Testing the Significance of the Correlation Coefficient—
• 11.5 Prediction—
• 11.6 Outliers—
• 11.7 Regression (Distance from School)—
• 11.8 Regression (Textbook Cost)—
• 11.9 Regression (Fuel Efficiency)—

Chapter 12: F Distribution and One-Way ANOVA4

• SectionSlides
• 12.1 One-Way ANOVA—
• 12.2 The F Distribution and the F-Ratio—
• 12.3 Facts About the F Distribution—
• 12.4 Test of Two Variances—

Appendix A: Additional Sections5

• SectionSlides
• A.1 Geometric Distribution—
• A.2 Hypergeometric Distribution—
• A.3 Poisson Distribution—
• A.4 The Uniform Distribution—
• A.5 The Exponential Distribution—

Appendix B: Additional Labs6

• SectionSlides
• B.1 Sampling Experiment—
• B.2 Discrete Distribution (Dice Experiment Using Three Regular Dice)—
• B.3 Normal Distribution (Pinkie Length)—
• B.4 Central Limit Theorem (Cookie Recipes)—
• B.5 Confidence Interval (Place of Birth)—
• B.6 Confidence Interval (Women's Heights)—

Other1

• SectionSlides
• Introduction to Statistics—