Table of Contents

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 StemandLeaf 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 (Lucky Dice Experiment)

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 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 ChiSquare Distribution
 11.1 Facts about the ChiSquare Distribution
 11.2 GoodnessofFit Test
 11.3 Test of Independence
 11.4 Test for Homogeneity
 11.5 Comparison of the ChiSquare Tests
 11.6 Test of a Single Variance
 11.7 Lab 1: ChiSquare GoodnessofFit
 11.8 Lab 2: ChiSquare 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 OneWay ANOVA
 13.1 OneWay ANOVA
 13.2 The F Distribution and the FRatio
 13.3 Facts about the F Distribution
 13.4 Test of Two Variances
 13.5 Lab: OneWay ANOVA