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by Mario Triola

Cover type: HardbackEdition: 3RD 07

Copyright: 2007

Publisher: Addison-Wesley Longman, Inc.

Published: 2007

International: No

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Together we can raise confidence to a new level. Triola's Elementary Statistics Using Excel, Third Edition, promotes statistical literacy and critical thinking, using Excel as the key tool. This book guides students through the concepts behind the calculations, raising confidence in their ability to do statistics.

Elementary Statistics Using Excel, Third Edition,is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrative examples, many of which use real data. The text also identifies required assumptions. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel's limitations and alternative approaches to problem-solving. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks.

**Chapter 1. Introduction to Statistics **

1-1. Overview

1-2. Types of Data

1-3. Critical Thinking.

1-4. Design of Experiments

1-5. Introduction to Excel.

**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. Probabilities Through Simulations.

4-7. Counting.

4-8. 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.

5-5. The Poisson 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.

6-7. Assessing Normality.

**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.

9-5. Comparing Variation in Two Samples.

**Chapter 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.

**Chapter 11. Multinomial Experiments and Contingency Tables. **

11-1. Overview.

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

11-3. Contingency Tables: Independence and Homogeneity.

11-4. McNemar's Test for Matched Pairs.

**Chapter 12. Analysis of Variance. **

12-1. Overview.

12-2. One-Way ANOVA.

12-3. Two-Way ANOVA.

**Chapter 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.

**Chapter 14. Statistical Process Control. **

14-1. Overview.

14-2. Control Charts for Variation and Mean.

14-3. Control Charts for Attributes.

**Chapter 15. Projects, Procedures, Perspectives **

15-1. Projects.

15-2. Procedures.

15-3. Perspectives.

Appendices.

Appendix A: Tables.

Appendix B: Data Sets.

Appendix C: Excel References.

Appendix D: Glossary

Appendix E: Bibliography.

Appendix F: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises).

Credits.

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Summary

Together we can raise confidence to a new level. Triola's Elementary Statistics Using Excel, Third Edition, promotes statistical literacy and critical thinking, using Excel as the key tool. This book guides students through the concepts behind the calculations, raising confidence in their ability to do statistics.

Elementary Statistics Using Excel, Third Edition,is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrative examples, many of which use real data. The text also identifies required assumptions. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel's limitations and alternative approaches to problem-solving. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks.

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

1-5. Introduction to Excel.

**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. Probabilities Through Simulations.

4-7. Counting.

4-8. 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.

5-5. The Poisson 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.

6-7. Assessing Normality.

**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.

9-5. Comparing Variation in Two Samples.

**Chapter 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.

**Chapter 11. Multinomial Experiments and Contingency Tables. **

11-1. Overview.

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

11-3. Contingency Tables: Independence and Homogeneity.

11-4. McNemar's Test for Matched Pairs.

**Chapter 12. Analysis of Variance. **

12-1. Overview.

12-2. One-Way ANOVA.

12-3. Two-Way ANOVA.

**Chapter 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.

**Chapter 14. Statistical Process Control. **

14-1. Overview.

14-2. Control Charts for Variation and Mean.

14-3. Control Charts for Attributes.

**Chapter 15. Projects, Procedures, Perspectives **

15-1. Projects.

15-2. Procedures.

15-3. Perspectives.

Appendices.

Appendix A: Tables.

Appendix B: Data Sets.

Appendix C: Excel References.

Appendix D: Glossary

Appendix E: Bibliography.

Appendix F: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises).

Credits.

Publisher Info

Publisher: Addison-Wesley Longman, Inc.

Published: 2007

International: No

Published: 2007

International: No

Elementary Statistics Using Excel, Third Edition,is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrative examples, many of which use real data. The text also identifies required assumptions. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel's limitations and alternative approaches to problem-solving. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks.

**Chapter 1. Introduction to Statistics **

1-1. Overview

1-2. Types of Data

1-3. Critical Thinking.

1-4. Design of Experiments

1-5. Introduction to Excel.

**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. Probabilities Through Simulations.

4-7. Counting.

4-8. 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.

5-5. The Poisson 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.

6-7. Assessing Normality.

**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.

9-5. Comparing Variation in Two Samples.

**Chapter 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.

**Chapter 11. Multinomial Experiments and Contingency Tables. **

11-1. Overview.

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

11-3. Contingency Tables: Independence and Homogeneity.

11-4. McNemar's Test for Matched Pairs.

**Chapter 12. Analysis of Variance. **

12-1. Overview.

12-2. One-Way ANOVA.

12-3. Two-Way ANOVA.

**Chapter 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.

**Chapter 14. Statistical Process Control. **

14-1. Overview.

14-2. Control Charts for Variation and Mean.

14-3. Control Charts for Attributes.

**Chapter 15. Projects, Procedures, Perspectives **

15-1. Projects.

15-2. Procedures.

15-3. Perspectives.

Appendices.

Appendix A: Tables.

Appendix B: Data Sets.

Appendix C: Excel References.

Appendix D: Glossary

Appendix E: Bibliography.

Appendix F: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises).

Credits.