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Edition: 5TH 96

Copyright: 1996

Publisher: Prentice Hall, Inc.

Published: 1996

International: No

Copyright: 1996

Publisher: Prentice Hall, Inc.

Published: 1996

International: No

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Preface.

1. Introduction: Statistics and Data.

2. Graphical Methods for Describing Data Sets.

3. Numerical Methods for Describing Quantitative Data Sets.

4. Probability: Basic Concepts.

5. Discrete Probability Distributions.

6. Continuous Probability Distributions.

7. Sampling and Sampling Distributions.

8. Estimation of Population Parameters: Confidence Intervals.

9. Introduction to Sample Survey Methods (Optional).

10. Collecting Evidence to Support a Theory: General Concepts of Hypothesis Testing.

11. Hypothesis Testing: Applications.

12. Simple Linear Regression and Correlation.

13. Multiple Regression and Model Building.

14. Analysis of Variance.

15. Introduction to Process and Quality Control.

16. Time Series Analysis and Forecasting.

17. Categorical Data Analysis.

18. Nonparametric Statistics.

19. Elements of Decision Analysis.

Appendix A: Data Sets.

Appendix B: Statistical Tables.

Appendix C: SAS Tutorial.

Appendix D: SPSS Tutorial.

Appendix E: MINITAB Tutorial.

Appendix F: ASP Tutorial.

Answers to Odd-Numbered Exercises.

Index.

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Table of Contents

Preface.

1. Introduction: Statistics and Data.

2. Graphical Methods for Describing Data Sets.

3. Numerical Methods for Describing Quantitative Data Sets.

4. Probability: Basic Concepts.

5. Discrete Probability Distributions.

6. Continuous Probability Distributions.

7. Sampling and Sampling Distributions.

8. Estimation of Population Parameters: Confidence Intervals.

9. Introduction to Sample Survey Methods (Optional).

10. Collecting Evidence to Support a Theory: General Concepts of Hypothesis Testing.

11. Hypothesis Testing: Applications.

12. Simple Linear Regression and Correlation.

13. Multiple Regression and Model Building.

14. Analysis of Variance.

15. Introduction to Process and Quality Control.

16. Time Series Analysis and Forecasting.

17. Categorical Data Analysis.

18. Nonparametric Statistics.

19. Elements of Decision Analysis.

Appendix A: Data Sets.

Appendix B: Statistical Tables.

Appendix C: SAS Tutorial.

Appendix D: SPSS Tutorial.

Appendix E: MINITAB Tutorial.

Appendix F: ASP Tutorial.

Answers to Odd-Numbered Exercises.

Index.

Publisher Info

Publisher: Prentice Hall, Inc.

Published: 1996

International: No

Published: 1996

International: No

1. Introduction: Statistics and Data.

2. Graphical Methods for Describing Data Sets.

3. Numerical Methods for Describing Quantitative Data Sets.

4. Probability: Basic Concepts.

5. Discrete Probability Distributions.

6. Continuous Probability Distributions.

7. Sampling and Sampling Distributions.

8. Estimation of Population Parameters: Confidence Intervals.

9. Introduction to Sample Survey Methods (Optional).

10. Collecting Evidence to Support a Theory: General Concepts of Hypothesis Testing.

11. Hypothesis Testing: Applications.

12. Simple Linear Regression and Correlation.

13. Multiple Regression and Model Building.

14. Analysis of Variance.

15. Introduction to Process and Quality Control.

16. Time Series Analysis and Forecasting.

17. Categorical Data Analysis.

18. Nonparametric Statistics.

19. Elements of Decision Analysis.

Appendix A: Data Sets.

Appendix B: Statistical Tables.

Appendix C: SAS Tutorial.

Appendix D: SPSS Tutorial.

Appendix E: MINITAB Tutorial.

Appendix F: ASP Tutorial.

Answers to Odd-Numbered Exercises.

Index.