Introductory Statistics

Senior Contributing Authors

Barbara Illowsky, De Anza College
Susan Dean, De Anza College


Contributing Authors

Daniel Birmajer, Nazareth College
Bryan Blount, Kentucky Wesleyan College
Sheri Boyd, Rollins College
Matthew Einsohn, Prescott College
James Helmreich, Marist College
Lynette Kenyon, Collin County Community College
Sheldon Lee, Viterbo University
Jeff Taub, Maine Maritime Academy

Chapter 1 Sampling and Data
• Introduction
• 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
• Key Terms
• Chapter Review
• Practice
• Homework
• Bringing It Together: Homework
• References
• Solutions

Chapter 2 Descriptive Statistics
• Introduction
• 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
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• Bringing It Together: Homework
• References
• Solutions

Chapter 3 Probability Topics
• Introduction
• 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
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Bringing It Together: Practice
• Homework
• Bringing It Together: Homework
• References
• Solutions

Chapter 4 Discrete Random Variables
• Introduction
• 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)
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• References
• Solutions

Chapter 5 Continuous Random Variables
• Introduction
• 5.1 Continuous Probability Functions
• 5.2 The Uniform Distribution
• 5.3 The Exponential Distribution
• 5.4 Continuous Distribution
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• References
• Solutions

Chapter 6 The Normal Distribution
• Introduction
• 6.1 The Standard Normal Distribution
• 6.2 Using the Normal Distribution
• 6.3 Normal Distribution (Lap Times)
• 6.4 Normal Distribution (Pinkie Length)
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• References
• Solutions

Chapter 7 The Central Limit Theorem
• Introduction
• 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)
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• References
• Solutions

Chapter 8 Confidence Intervals
• Introduction
• 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)
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• References
• Solutions

Chapter 9 Hypothesis Testing with One Sample
• Introduction
• 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
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• References
• Solutions

Chapter 10 Hypothesis Testing with Two Samples
• Introduction
• 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
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• Bringing It Together: Homework
• References
• Solutions

Chapter 11 The Chi-Square Distribution
• Introduction
• 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
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• Bringing It Together: Homework
• References
• Solutions

Chapter 12 Linear Regression and Correlation
• Introduction
• 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)
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• Bringing It Together: Homework
• References
• Solutions

Chapter 13 F Distribution and One-Way ANOVA
• Introduction
• 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
• Key Terms
• Chapter Review
• Formula Review
• Practice
• Homework
• References
• Solutions