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Introduction
About the Authors
Introduction to 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 Using Technology for Sampling and Data
Introduction to 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 Using Technology for Charts and Graphs
2.9 Using Technology for Descriptive Statistics
Introduction to 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
Introduction to Chapter 4: Discrete Random Variables
4.1 Probability Distribution Function (PDF) for a Discrete Random Variable
4.2 Measures of General Discrete Random Variables
4.3 Binomial Distribution
4.4 Geometric Distribution
4.5 Hypergeometric Distribution
4.6 Poisson Distribution
4.7 Using Technology for the Binomial Distribution
4.8 Using Technology for the Geometric Distribution
4.9 Using Technology for the Hypergeometric Distribution
4.10 Using Technology for the Poisson Distribution
Introduction to Chapter 5: Continuous Random Variables
5.1 Continuous Probability Functions
5.2 The Uniform Distribution
5.3 The Exponential Distribution
5.4 Using Technology for the Uniform Distribution
5.5 Using Technology for the Exponential Distribution
Introduction to Chapter 6: The Normal Distribution and The Central Limit Theorem
6.1 The Standard Normal Distribution
6.2 Using the Normal Distribution
6.3 The Central Limit Theorem for Sample Means (Averages)
6.4 The Central Limit Theorem for Sums
6.5 The Normal Approximation to the Binomial
6.6 Using Technology for the Normal Distribution
6.7 Using Technology for the Central Limit Theorem
6.8 Using Technology for the Normal Approximation to the Binomial
Introduction to Chapter 7: Confidence Intervals
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 Using Technology for Confidence Intervals
Introduction to Chapter 8: Hypothesis Testing with One Sample
8.1 Null and Alternative Hypotheses
8.2 Outcomes and the Type I and Type II Errors
8.3 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 Using Technology for Hypothesis Testing with One Sample
Introduction to Chapter 9: Hypothesis Testing with Two Samples
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
9.5 Using Technology for Hypothesis Testing with Two Samples
Introduction to Chapter 10: Linear Regression and Correlation
10.1 Linear Equations
10.2 Scatter Plots
10.3 The Regression Equation
10.4 Testing the Significance of the Correlation Coefficient
10.5 Prediction
10.6 Outliers
10.7 Using Technology for Linear Regression
Introduction to 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 Using Technology for The Chi-Square Distribution
Glossary
Mathematical Phrases, Symbols, and Formulas
Statistics Tables
Desmos Graphing Calculator
Desmos Statistics Calculator
Group and Partner Projects
Summary of Adaptations
Accessibility
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