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Cover type: Hardback

Edition: 98

Copyright: 1998

Publisher: Prentice Hall, Inc.

Published: 1998

International: No

Edition: 98

Copyright: 1998

Publisher: Prentice Hall, Inc.

Published: 1998

International: No

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The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference.

This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applications, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book.

1. Data and Statistical Methods.

2. Populations, Variables, Parameters, Samples.

3. Confidence Intervals for a Population Proportion.

4. Processing Data.

5. Median and Interquartile Range; Mean and Standard Deviation.

6. The *Normal* Populations.

7. Inference for a Population Mean and Median for any Population.

8. Statistical Tests.

9. Simple Linear Regression.

Interlude.

Critical Assessment of Statistical Studies.

10. Comparing Population Properties; Contingency Tables.

11. Comparing Population Means.

12. Multiple Regression.

13. Process Improvement.

14. Sample Surveys.

Appendix A: Answers to Odd-Numbered Exercises.

Appendix B: Calculus Scores Data.

Appendix C: A Brief Introduction to Minitab.

Index.

Summary

The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference.

This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applications, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book.

Table of Contents

1. Data and Statistical Methods.

2. Populations, Variables, Parameters, Samples.

3. Confidence Intervals for a Population Proportion.

4. Processing Data.

5. Median and Interquartile Range; Mean and Standard Deviation.

6. The *Normal* Populations.

7. Inference for a Population Mean and Median for any Population.

8. Statistical Tests.

9. Simple Linear Regression.

Interlude.

Critical Assessment of Statistical Studies.

10. Comparing Population Properties; Contingency Tables.

11. Comparing Population Means.

12. Multiple Regression.

13. Process Improvement.

14. Sample Surveys.

Appendix A: Answers to Odd-Numbered Exercises.

Appendix B: Calculus Scores Data.

Appendix C: A Brief Introduction to Minitab.

Index.

Publisher Info

Publisher: Prentice Hall, Inc.

Published: 1998

International: No

Published: 1998

International: No

The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference.

This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applications, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book.

1. Data and Statistical Methods.

2. Populations, Variables, Parameters, Samples.

3. Confidence Intervals for a Population Proportion.

4. Processing Data.

5. Median and Interquartile Range; Mean and Standard Deviation.

6. The *Normal* Populations.

7. Inference for a Population Mean and Median for any Population.

8. Statistical Tests.

9. Simple Linear Regression.

Interlude.

Critical Assessment of Statistical Studies.

10. Comparing Population Properties; Contingency Tables.

11. Comparing Population Means.

12. Multiple Regression.

13. Process Improvement.

14. Sample Surveys.

Appendix A: Answers to Odd-Numbered Exercises.

Appendix B: Calculus Scores Data.

Appendix C: A Brief Introduction to Minitab.

Index.