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Edition: 4TH 95

Copyright: 1995

Publisher: Duxbury Press

Published: 1995

International: No

Copyright: 1995

Publisher: Duxbury Press

Published: 1995

International: No

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This text emphasizes models, methodology, and applications rather than rigorous mathematical development and theory. It uses real data in both exercise sets and examples.

- Real data sets are updated and strengthened.
- Coverage of computer-based methods has increased, especially in analysis of variance and regression.
- The section on multiple regression has been rewritten.
- Data analysis coverage has been increased in Chapter One.
- The section on probability has been modernized and expanded.
- The chapter on quality control has been updated.
- Introduction to bootstrapping techniques and inclusion of a simulation experiment in Chapter Five.

**Devore, Jay : California Polytechnic State University-San Luis Obispo **

1. Introduction and Descriptive Statistics.

2. Probability.

3. Discrete Random Variables and Probability Distributions.

4. Continuous Random Variables and Probability Distributions.

5. Joint Probability Distributions and Random Samples.

6. Point Estimation.

7. Statistical Intervals Based on a Single Sample.

8. Tests of Hypotheses Based on a Single Sample.

9. Inferences Based on Two Samples.

10. The Analysis of Variance.

11. Multifactor Analysis of Variance.

12. Simple Linear Regression and Correlation.

13. Nonlinear and Multiple Regression.

14. The Analysis of Categorical Data.

15. Distribution-Free Procedures.

16. Quality Control Methods.

Appendix Tables.

Answers.

Index.

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Summary

This text emphasizes models, methodology, and applications rather than rigorous mathematical development and theory. It uses real data in both exercise sets and examples.

- Real data sets are updated and strengthened.
- Coverage of computer-based methods has increased, especially in analysis of variance and regression.
- The section on multiple regression has been rewritten.
- Data analysis coverage has been increased in Chapter One.
- The section on probability has been modernized and expanded.
- The chapter on quality control has been updated.
- Introduction to bootstrapping techniques and inclusion of a simulation experiment in Chapter Five.

Author Bio

**Devore, Jay : California Polytechnic State University-San Luis Obispo **

Table of Contents

1. Introduction and Descriptive Statistics.

2. Probability.

3. Discrete Random Variables and Probability Distributions.

4. Continuous Random Variables and Probability Distributions.

5. Joint Probability Distributions and Random Samples.

6. Point Estimation.

7. Statistical Intervals Based on a Single Sample.

8. Tests of Hypotheses Based on a Single Sample.

9. Inferences Based on Two Samples.

10. The Analysis of Variance.

11. Multifactor Analysis of Variance.

12. Simple Linear Regression and Correlation.

13. Nonlinear and Multiple Regression.

14. The Analysis of Categorical Data.

15. Distribution-Free Procedures.

16. Quality Control Methods.

Appendix Tables.

Answers.

Index.

Publisher Info

Publisher: Duxbury Press

Published: 1995

International: No

Published: 1995

International: No

This text emphasizes models, methodology, and applications rather than rigorous mathematical development and theory. It uses real data in both exercise sets and examples.

- Real data sets are updated and strengthened.
- Coverage of computer-based methods has increased, especially in analysis of variance and regression.
- The section on multiple regression has been rewritten.
- Data analysis coverage has been increased in Chapter One.
- The section on probability has been modernized and expanded.
- The chapter on quality control has been updated.
- Introduction to bootstrapping techniques and inclusion of a simulation experiment in Chapter Five.

**Devore, Jay : California Polytechnic State University-San Luis Obispo **

1. Introduction and Descriptive Statistics.

2. Probability.

3. Discrete Random Variables and Probability Distributions.

4. Continuous Random Variables and Probability Distributions.

5. Joint Probability Distributions and Random Samples.

6. Point Estimation.

7. Statistical Intervals Based on a Single Sample.

8. Tests of Hypotheses Based on a Single Sample.

9. Inferences Based on Two Samples.

10. The Analysis of Variance.

11. Multifactor Analysis of Variance.

12. Simple Linear Regression and Correlation.

13. Nonlinear and Multiple Regression.

14. The Analysis of Categorical Data.

15. Distribution-Free Procedures.

16. Quality Control Methods.

Appendix Tables.

Answers.

Index.