Elementary Statistics With Multimedia Study Guide
10th Edition
Published on 4. September 2007
Book
Mixed media product
912 pages
978-0-321-46092-9 (ISBN)
Description
Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics, now with a Multimedia Study Guide on CD-ROM included with every new copy of the book. The Multimedia Study Guide contains nine hours of review exercise videos presented by the author, animated flowcharts that walk students through complex concepts and procedures, and selected solutions from the Student's Solutions manual.
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.
Datasets and other resources (where applicable) for this book are available here.
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.
Datasets and other resources (where applicable) for this book are available here.
More details
Edition
10th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 261 mm
Width: 217 mm
Thickness: 37 mm
Weight
2016 gr
ISBN-13
978-0-321-46092-9 (9780321460929)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
12/2008
11th Edition
Pearson
€59.61
Article exhausted; check for reprint
Person
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty is the author of Elementary Statistics, 10th Edition, Elementary Statistics Using Excel, Elementary Statistics Using the TI-83 84 Plus Calculator, and he is a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom, Marty has been a speaker at many conferences and colleges. His consulting work includes the design of casino slot machines and fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, identifying salary inequities based on gender, analyzing disputed election results, analyzing medical data, and analyzing medical school surveys. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Mario F. Triola a "Texty" for Excellence for his work on Elementary Statistics.
Content
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: s Known
7-4 Estimating a Population Mean: s 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: s Known
8-5 Testing a Claim about a Mean: s 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
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: s Known
7-4 Estimating a Population Mean: s 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: s Known
8-5 Testing a Claim about a Mean: s 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