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by Mario Triola

Cover type: PaperbackEdition: 3RD 08

Copyright: 2008

Publisher: Addison-Wesley Longman, Inc.

Published: 2008

International: No

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Essentials of Statistics,Third Edition is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics, Tenth Edition, this text provides the same student-friendly approach with material presented in a real-world context.

New To This Edition

- New Exercises: More than 68% of the exercises are new, including more exercises that use small data sets.
- The author identifies the Top 20 Topics that are essential in an introductory statistics course. These topics are identified with an icon in the text. Students using MyStatLab have access to additional resources that link these topics to definitions, animations, and video lessons.
- More small data sets make homework and in-class exercises more manageable.
- Statistical Literacy and Critical Thinking Exercises begin each exercise set to promote statistical literacy and encourage critical thinking.
- Exercise answers: For all numerical answers, both table and technology results are provided.
- In the appropriate worked examples, solutions begin with a formal Requirement Check that verifies that a particular method is to be used.
- Technology inclusion: Instruction for STATDISK, Minitab®, Excel®, and the TI-83/84 are included in the book as well as screen captures from SPSS and SAS.
- Videos have been expanded and supplement most sections in the book, with many topics presented by the author. The videos feature graphing calculator technology coverage and worked-out Chapter Review Exercises.
- MyStatLab provides instructors with a rich and flexible set of course materials, along with course-management tools that make it easy to deliver all or a portion of your course online. MyStatLab also provides students with a personalized interactive learning environment, where they can learn at their own pace and measure their progress.
- Visualizing Data: The section on Visualizing Data has been divided into two sections, (2-3) Histograms and (2-4) Statistical Graphics, with an increased emphasis on statistical graphics.
- Chapter 2: The material in Chapter 2 has been divided into two chapters: Chapter 2, Summarizing and Graphing Data, and Chapter 3, Statistics for Describing, Exploring, and Comparing Data.

Table of Contents

Chapter 1 Introduction to Statistics

1-1 Overview

1-2 Types of Data

1-3 Critical Thinking

1-4 Design of Experiments

Chapter 2 Summarizing and Graphing Data

2-1 Overview

2-2 Frequency Distributions

2-3 Histograms

2-4 Statistical Graphics

Chapter 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)

Chapter 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 Counting

4-7 Bayes' Theorem (on CD-ROM)

Chapter 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

Chapter 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

Chapter 7 Estimates and Sample Sizes

7-1 Overview

7-2 Estimating a Population Proportion

7-3 Estimating a Population Mean: ? Known

7-4 Estimating a Population Mean: ? Not Known

7-5 Estimating a Population Variance

Chapter 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: ? Known

8-5 Testing a Claim about a Mean: ? Not Known

8-6 Testing a Claim about Variation

Chapter 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

Chapter 10 Correlation and Regression

10-1 Overview

10-2 Correlation

10-3 Regression

10-4 Variation and Prediction Intervals

10-5 Rank Correlation

Chapter 11 Chi-Square and Analysis of Variance

11-1 Overview

11-2 Multinomial Experiments: Goodness-0f-Fit

11-3 Contingency Tables: Independence and Homogeneity

11-4 Analysis of Variance

Appendices

Appendix A:Tables

Appendix B: Data Sets

Appendix C:Answers to Odd-Numbered Exercises (and All Review

Exercises and All Cumulative Review Exercises)

Credits

Index

Summary

Essentials of Statistics,Third Edition is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics, Tenth Edition, this text provides the same student-friendly approach with material presented in a real-world context.

New To This Edition

- New Exercises: More than 68% of the exercises are new, including more exercises that use small data sets.
- The author identifies the Top 20 Topics that are essential in an introductory statistics course. These topics are identified with an icon in the text. Students using MyStatLab have access to additional resources that link these topics to definitions, animations, and video lessons.
- More small data sets make homework and in-class exercises more manageable.
- Statistical Literacy and Critical Thinking Exercises begin each exercise set to promote statistical literacy and encourage critical thinking.
- Exercise answers: For all numerical answers, both table and technology results are provided.
- In the appropriate worked examples, solutions begin with a formal Requirement Check that verifies that a particular method is to be used.
- Technology inclusion: Instruction for STATDISK, Minitab®, Excel®, and the TI-83/84 are included in the book as well as screen captures from SPSS and SAS.
- Videos have been expanded and supplement most sections in the book, with many topics presented by the author. The videos feature graphing calculator technology coverage and worked-out Chapter Review Exercises.
- MyStatLab provides instructors with a rich and flexible set of course materials, along with course-management tools that make it easy to deliver all or a portion of your course online. MyStatLab also provides students with a personalized interactive learning environment, where they can learn at their own pace and measure their progress.
- Visualizing Data: The section on Visualizing Data has been divided into two sections, (2-3) Histograms and (2-4) Statistical Graphics, with an increased emphasis on statistical graphics.
- Chapter 2: The material in Chapter 2 has been divided into two chapters: Chapter 2, Summarizing and Graphing Data, and Chapter 3, Statistics for Describing, Exploring, and Comparing Data.

Table of Contents

Table of Contents

Chapter 1 Introduction to Statistics

1-1 Overview

1-2 Types of Data

1-3 Critical Thinking

1-4 Design of Experiments

Chapter 2 Summarizing and Graphing Data

2-1 Overview

2-2 Frequency Distributions

2-3 Histograms

2-4 Statistical Graphics

Chapter 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)

Chapter 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 Counting

4-7 Bayes' Theorem (on CD-ROM)

Chapter 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

Chapter 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

Chapter 7 Estimates and Sample Sizes

7-1 Overview

7-2 Estimating a Population Proportion

7-3 Estimating a Population Mean: ? Known

7-4 Estimating a Population Mean: ? Not Known

7-5 Estimating a Population Variance

Chapter 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: ? Known

8-5 Testing a Claim about a Mean: ? Not Known

8-6 Testing a Claim about Variation

Chapter 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

Chapter 10 Correlation and Regression

10-1 Overview

10-2 Correlation

10-3 Regression

10-4 Variation and Prediction Intervals

10-5 Rank Correlation

Chapter 11 Chi-Square and Analysis of Variance

11-1 Overview

11-2 Multinomial Experiments: Goodness-0f-Fit

11-3 Contingency Tables: Independence and Homogeneity

11-4 Analysis of Variance

Appendices

Appendix A:Tables

Appendix B: Data Sets

Appendix C:Answers to Odd-Numbered Exercises (and All Review

Exercises and All Cumulative Review Exercises)

Credits

Index

Publisher Info

Publisher: Addison-Wesley Longman, Inc.

Published: 2008

International: No

Published: 2008

International: No

Essentials of Statistics,Third Edition is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics, Tenth Edition, this text provides the same student-friendly approach with material presented in a real-world context.

New To This Edition

- New Exercises: More than 68% of the exercises are new, including more exercises that use small data sets.
- The author identifies the Top 20 Topics that are essential in an introductory statistics course. These topics are identified with an icon in the text. Students using MyStatLab have access to additional resources that link these topics to definitions, animations, and video lessons.
- More small data sets make homework and in-class exercises more manageable.
- Statistical Literacy and Critical Thinking Exercises begin each exercise set to promote statistical literacy and encourage critical thinking.
- Exercise answers: For all numerical answers, both table and technology results are provided.
- In the appropriate worked examples, solutions begin with a formal Requirement Check that verifies that a particular method is to be used.
- Technology inclusion: Instruction for STATDISK, Minitab®, Excel®, and the TI-83/84 are included in the book as well as screen captures from SPSS and SAS.
- Videos have been expanded and supplement most sections in the book, with many topics presented by the author. The videos feature graphing calculator technology coverage and worked-out Chapter Review Exercises.
- MyStatLab provides instructors with a rich and flexible set of course materials, along with course-management tools that make it easy to deliver all or a portion of your course online. MyStatLab also provides students with a personalized interactive learning environment, where they can learn at their own pace and measure their progress.
- Visualizing Data: The section on Visualizing Data has been divided into two sections, (2-3) Histograms and (2-4) Statistical Graphics, with an increased emphasis on statistical graphics.
- Chapter 2: The material in Chapter 2 has been divided into two chapters: Chapter 2, Summarizing and Graphing Data, and Chapter 3, Statistics for Describing, Exploring, and Comparing Data.

Chapter 1 Introduction to Statistics

1-1 Overview

1-2 Types of Data

1-3 Critical Thinking

1-4 Design of Experiments

Chapter 2 Summarizing and Graphing Data

2-1 Overview

2-2 Frequency Distributions

2-3 Histograms

2-4 Statistical Graphics

Chapter 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)

Chapter 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 Counting

4-7 Bayes' Theorem (on CD-ROM)

Chapter 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

Chapter 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

Chapter 7 Estimates and Sample Sizes

7-1 Overview

7-2 Estimating a Population Proportion

7-3 Estimating a Population Mean: ? Known

7-4 Estimating a Population Mean: ? Not Known

7-5 Estimating a Population Variance

Chapter 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: ? Known

8-5 Testing a Claim about a Mean: ? Not Known

8-6 Testing a Claim about Variation

Chapter 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

Chapter 10 Correlation and Regression

10-1 Overview

10-2 Correlation

10-3 Regression

10-4 Variation and Prediction Intervals

10-5 Rank Correlation

Chapter 11 Chi-Square and Analysis of Variance

11-1 Overview

11-2 Multinomial Experiments: Goodness-0f-Fit

11-3 Contingency Tables: Independence and Homogeneity

11-4 Analysis of Variance

Appendices

Appendix A:Tables

Appendix B: Data Sets

Appendix C:Answers to Odd-Numbered Exercises (and All Review

Exercises and All Cumulative Review Exercises)

Credits

Index