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Succeed in statistics with ELEMENTARY STATISTICS! Including relevant examples, exercises, and applications, this textbook gives you the tools you need to get a good grade in your statistics course. Struggling with a specific concept? Log onto Personal Tutor with SMARTHINKING to get live, one-on-one online tutoring from a statistician who has a copy of the textbook. Video Skillbuilders and StatisticsNow (an online learning tool built around your individual progress that gives you a simple pre-test, and then focuses your learning experience on your studying needs) provide additional online support. Learning to use MINITAB, Excel, and the TI-83/84 graphing calculator is made easy with instructions included in relevant sections throughout the text.

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• Part 1 Descriptive Statistics
• 1 Statistics
• Chapter Case Study
• What Is Statistics? Introduction to Basic Terms
• Measurability and Variability
• Data Collection
• Comparison of Probability and Statistics
• Statistics and Technology
• Chapter Summary
• 2 Descriptive Analysis and Presentation of Single-Variable Data
• Chapter Case Study
• Graphs, Pareto Diagrams, and Stem-and-Leaf Displays
• Frequency Distributions and Histograms
• Measures of Central Tendency
• Measures of Dispersion
• Mean and Standard Deviation of Frequency Distribution
• Measures of Position
• Interpreting and Understanding Standard Deviation
• The Art of Statistical Deception
• Chapter Summary
• 3 Descriptive Analysis and Presentation of Bivariate Data
• Chapter Case Study
• Bivariate Data
• Linear Correlation
• Linear Regression
• Chapter Summary
• Part 2 Probability
• 4 Probability
• Chapter Case Study
• The Nature of Probability
• Probability of Events
• Simple Sample Spaces
• Rules of Probability
• Mutually Exclusive Events and the Addition Rule
• Independence, the Multiplication Rule, and Conditional Probability
• Combining the Rules of Probability
• Chapter Summary
• 5 Probability Distributions (Discrete Variables)
• Chapter Case Study
• Random Variables
• Probability Distributions of a Discrete Random Variable
• Mean and Variance of a Discrete Probability Distribution
• The Binomial Probability Distribution
• Mean and Standard Deviation of the Binomial Distribution
• Chapter Summary
• 6 Normal Probability Distributions
• Chapter Case Study
• Normal Probability Distributions
• The Standard Normal Distribution
• Applications of Normal Distributions
• Notation
• Normal Approximation of the Binomial
• Chapter Summary
• 7 Sample Variability
• Chapter Case Study
• Sampling Distributions
• The Central Limit Theorem
• Application of the Central Limit Theorem
• Chapter Summary
• Part 3 Inferential Statistics
• 8 Introduction to Statistical Inferences
• Chapter Case Study
• The Nature of Estimation
• Estimation of Mean ? (? Known)
• The Nature of Hypothesis Testing
• Hypothesis Test of Mean ? (? Known): A Probability-Value Approach
• Hypothesis test of Mean ? (? Known): A Classical Approach
• Chapter Summary
• 9 Inferences Involving One Population
• Chapter Case Study
• Inferences About Mean ? (? Unknown)
• Inferences About the Binomial Probability of Success
• Inferences About Variance and Standard Deviation
• Chapter Summary
• 10 Inferences Involving Two Populations
• Chapter Case Study
• Independent and Dependent Samples
• Inferences Concerning the Mean Difference Using Two Dependent Samples
• Inferences Concerning the Difference Between Means Using Two Independent Samples
• Inferences Concerning the Difference Between Proportions Using Two Independent Samples
• Inferences Concerning the Ratio of Variance Using Two Independent Samples
• Chapter Summary
• Part 4 More Inferential Statistics
• 11 Applications of Chi-Square
• Chapter Case Study
• Chi-Square Statistic
• Inferences Concerning Multinomial Experiments
• Inferences Concerning Contingency Tables
• Chapter Summary
• 12 Analysis of Variance
• Chapter Case Study
• Introduction to the Analysis of Variance Technique
• The Logic Behind ANOVA
• Applications of Single-Factor ANOVA
• Chapter Summary
• 13 Linear Correlation and Regression Analysis
• Chapter Case Study
• Linear Correlation Analysis
• Inferences About the Linear Correlation Coefficient
• Linear Regression Analysis
• Inferences Concerning the Slope of the Regression Line
• Confidence Interval Estimates for Regression
• Understanding the Relationship Between Correlation and Regression
• Chapter Summary
• 14 Elements of Nonparametric Statistics
• Chapter Case Study
• Nonparametric Statistics
• Comparing Statistical Tests
• The Sign Test
• The Mann-Whitney U Test
• The Runs Test
• Rank Correlation
• Chapter Summary
• References
• Appendix A Data Sets
• Appendix B Tables
• Binomial Probabilities
• Probabilities for the Standard Normal Distribution
• Critical Values of Students t Distribution
• Critical values of the Chi-Square Distribution
• Critical Values of the F-Distribution
• Answers to Odd-Numbered Exercises
• Index