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by Neil Weiss

Edition: 6TH 05Copyright: 2005

Publisher: Addison-Wesley Longman, Inc.

Published: 2005

International: No

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Elementary Statistics is appropriate for a one-semester introductory statistics course, with an algebra prerequisite. ES has a reputation for being thorough and precise, and for using real data extensively. Students find the book readable and clear, and the math level is right for the diverse population that takes the introductory statistics course. The text thoroughly explains and illustrates concepts through an abundance of worked out examples.

1. The Nature of Statistics

2. Organizing Data

3. Descriptive Measures

4. Descriptive Methods in Regression and Correlation

5. Probability and Random Variables

6. The Normal Distribution

7. The Sampling Distribution of the Sample Mean

8. Confidence Intervals for One Population Mean

9. Hypothesis Tests for One Population Mean

10. Inferences for Two Population Means

11. Inferences for Population Proportions

12. Chi-Square Procedures

13. Analysis of Variance (ANOVA)

14. Inferential Methods in Regression and Correlation

Summary

Elementary Statistics is appropriate for a one-semester introductory statistics course, with an algebra prerequisite. ES has a reputation for being thorough and precise, and for using real data extensively. Students find the book readable and clear, and the math level is right for the diverse population that takes the introductory statistics course. The text thoroughly explains and illustrates concepts through an abundance of worked out examples.

Table of Contents

1. The Nature of Statistics

2. Organizing Data

3. Descriptive Measures

4. Descriptive Methods in Regression and Correlation

5. Probability and Random Variables

6. The Normal Distribution

7. The Sampling Distribution of the Sample Mean

8. Confidence Intervals for One Population Mean

9. Hypothesis Tests for One Population Mean

10. Inferences for Two Population Means

11. Inferences for Population Proportions

12. Chi-Square Procedures

13. Analysis of Variance (ANOVA)

14. Inferential Methods in Regression and Correlation

Publisher Info

Publisher: Addison-Wesley Longman, Inc.

Published: 2005

International: No

Published: 2005

International: No

2. Organizing Data

3. Descriptive Measures

4. Descriptive Methods in Regression and Correlation

5. Probability and Random Variables

6. The Normal Distribution

7. The Sampling Distribution of the Sample Mean

8. Confidence Intervals for One Population Mean

9. Hypothesis Tests for One Population Mean

10. Inferences for Two Population Means

11. Inferences for Population Proportions

12. Chi-Square Procedures

13. Analysis of Variance (ANOVA)

14. Inferential Methods in Regression and Correlation