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Edition: 01

Copyright: 2001

Publisher: Duxbury Press

Published: 2001

International: No

Copyright: 2001

Publisher: Duxbury Press

Published: 2001

International: No

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Gerald Keller's new Applied Statistics with Microsoft Excel integrates Excel into the general introductory statistics course. Keller, the co-author of the market-leading Statistics for Management and Economics, Fifth Edition, incorporates his proven three-step problem-solving process throughout this book. The first step, "Identify," is the work a statistician does before the calculations are performed, which entails organizing the experiment, gathering the data, and deciding which statistical techniques to employ. The second step, "Compute," is the computation with Excel. In this step, Keller shows the manual calculation for the simplest of techniques only. For example, he describes how to calculate the sample mean, variance, and standard deviation, how to compute the z-interval estimate of, and the z-test of. The third step, "Interpret," is the interpretation of the computer output, which requires an understanding of statistical concepts.

1. What is Statistics?.

2. Graphical Descriptive Techniques.

3. Numerical Descriptive Techniques for Interval Data.

4. Probability.

5. Random Variables and Discrete Probability Distributions.

6. Continuous Probability Distributions.

7. Sampling and Sampling Plans.

8. Sampling Distributions.

9. Introduction to Estimation.

10. Introduction to Hypothesis Testing.

11. Inference About a Single Population.

12. Inference About Two Populations.

13. Statistical Inference: Review of Chapters 11 and 12.

14. Analysis of Variance.

15. Chi-Squared Tests.

16. Nonparametric Statistical Techniques.

17. Simple Linear Regression and Correlation.

18. Multiple Regression.

19. Statistical Inference: Conclusion.

Summary

Gerald Keller's new Applied Statistics with Microsoft Excel integrates Excel into the general introductory statistics course. Keller, the co-author of the market-leading Statistics for Management and Economics, Fifth Edition, incorporates his proven three-step problem-solving process throughout this book. The first step, "Identify," is the work a statistician does before the calculations are performed, which entails organizing the experiment, gathering the data, and deciding which statistical techniques to employ. The second step, "Compute," is the computation with Excel. In this step, Keller shows the manual calculation for the simplest of techniques only. For example, he describes how to calculate the sample mean, variance, and standard deviation, how to compute the z-interval estimate of, and the z-test of. The third step, "Interpret," is the interpretation of the computer output, which requires an understanding of statistical concepts.

Table of Contents

1. What is Statistics?.

2. Graphical Descriptive Techniques.

3. Numerical Descriptive Techniques for Interval Data.

4. Probability.

5. Random Variables and Discrete Probability Distributions.

6. Continuous Probability Distributions.

7. Sampling and Sampling Plans.

8. Sampling Distributions.

9. Introduction to Estimation.

10. Introduction to Hypothesis Testing.

11. Inference About a Single Population.

12. Inference About Two Populations.

13. Statistical Inference: Review of Chapters 11 and 12.

14. Analysis of Variance.

15. Chi-Squared Tests.

16. Nonparametric Statistical Techniques.

17. Simple Linear Regression and Correlation.

18. Multiple Regression.

19. Statistical Inference: Conclusion.

Publisher Info

Publisher: Duxbury Press

Published: 2001

International: No

Published: 2001

International: No

2. Graphical Descriptive Techniques.

3. Numerical Descriptive Techniques for Interval Data.

4. Probability.

5. Random Variables and Discrete Probability Distributions.

6. Continuous Probability Distributions.

7. Sampling and Sampling Plans.

8. Sampling Distributions.

9. Introduction to Estimation.

10. Introduction to Hypothesis Testing.

11. Inference About a Single Population.

12. Inference About Two Populations.

13. Statistical Inference: Review of Chapters 11 and 12.

14. Analysis of Variance.

15. Chi-Squared Tests.

16. Nonparametric Statistical Techniques.

17. Simple Linear Regression and Correlation.

18. Multiple Regression.

19. Statistical Inference: Conclusion.