< p="" style="margin: 0px; "> Addison-Wesley is proud to celebrate the < b=""> Tenth Edition<> of < b=""> Elementary Statistics<> < i=""> .& nbsp; <> This text is highly regarded because of its engaging and understandable introduction to statistics. The& nbsp; author& #39; 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 < b=""> Elementary Statistics<> the #1 best-seller in the market. <> < p="" style="margin: 0px; "> & nbsp; <> Students learning from < b=""> 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. < p="" style="margin: 0px; "> & nbsp; <>
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