Elementary Statistics, 10/E
ISBN-10: 0321331834
ISBN-13: 9780321331830
Publisher: Pearson
Copyright: 2007
Format: Cloth Bound w/CD-ROM; 912 pp
Published: 12/23/2005
Description
Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics. This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.
Students learning from Elementary Statistics should have completed an elementary algebra course. Although formulas and formal procedures can be found throughout the text, the emphasis is on development of statistical literacy and critical thinking.
Features
New To This Edition
Table of Contents
1. Introduction to Statistics
1-1 Overview
1-2 Types of Data
1-3 Critical Thinking
1-4 Design of Experiments
2. Summarizing and Graphing Data
2-1 Overview
2-2 Frequency Distributions
2-3 Histograms
2-4 Statistical Graphics
3. Statistics for Describing, Exploring, and Comparing Data
3-1 Overview
3-2 Measures of Center
3-3 Measures of Variation
3-4 Measures of Relative Standing
3-5 Exploratory Data Analysis (EDA)
4. Probability
4-1 Overview
4-2 Fundamentals
4-3 Addition Rule
4-4 Multiplication Rule: Basics
4-5 Multiplication Rule: Complements and Conditional Probability
4-6 Probabilities Through Simulations
4-7 Counting
4-8 Bayes’ Theorem (on CD-ROM)
5. Probability Distributions
5-1 Overview
5-2 Random Variables
5-3 Binomial Probability Distributions
5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
5-5 The Poisson Distribution
6. Normal Probability Distributions
6-1 Overview
6-2 The Standard Normal Distribution
6-3 Applications of Normal Distributions
6-4 Sampling Distributions and Estimators
6-5 The Central Limit Theorem
6-6 Normal as Approximation to Binomial
6-7 Assessing Normality
7. Estimates and Sample Sizes
7-1 Overview
7-2 Estimating a Population Proportion
7-3 Estimating a Population Mean: σ Known
7-4 Estimating a Population Mean: σ Not Known
7-5 Estimating a Population Variance
8. Hypothesis Testing
8-1 Overview
8-2 Basics of Hypothesis Testing
8-3 Testing a Claim about a Proportion
8-4 Testing a Claim about a Mean: σ Known
8-5 Testing a Claim about a Mean: σ Not Known
8-6 Testing a Claim about Variation
9. Inferences from Two Samples
9-1 Overview
9-2 Inferences about Two Proportions
9-3 Inferences about Two Means: Independent Samples
9-4 Inferences from Matched Pairs
9-5 Comparing Variation in Two Samples
10. Correlation and Regression
10-1 Overview
10-2 Correlation
10-3 Regression
10-4 Variation and Prediction Intervals
10-5 Multiple Regression
10-6 Modeling
11. Multinomial Experiments and Contingency Tables
11-1 Overview
11-2 Multinomial Experiments: Goodness-of-Fit
11-3 Contingency Tables: Independence and Homogeneity
11-4 McNemar’s Test for Matched Pairs
12. Analysis of Variance
12-1 Overview
12-2 One-Way ANOVA
12-3 Two-Way ANOVA
13. Nonparametric Statistics
13-1 Overview
13-2 Sign Test
13-3 Wilcoxon Signed-Ranks Test for Matched Pairs
13-4 Wilcoxon Rank-Sum Test for Two Independent Samples
13-5 Kruskal-Wallis Test
13-6 Rank Correlation
13-7 Runs Test for Randomness
14. Statistical Process Control
14-1 Overview
14-2 Control Charts for Variation and Mean
14-3 Control Charts for Attributes
15. Projects, Procedures, Perspectives
15-1 Projects
15-2 Procedure
15-3 Perspective
Appendices
Appendix A: Tables
Appendix B: Data Sets
Appendix C: Glossary
Appendix D: Bibliography
Appendix E: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
Credits
Index
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