The Statistical Sleuth: A Course in Methods of Data Analysis / Edition 1

The Statistical Sleuth: A Course in Methods of Data Analysis / Edition 1

by Fred L. Ramsey
     
 

ISBN-10: 0534253806

ISBN-13: 9780534253806

Pub. Date: 11/28/1996

Publisher: Wadsworth

Intended for the one- or two-term algebra-based course in statistical methods, this innovative book takes full advantage of the computer both as a computational and as an analytical tool. The focus is on a serious analysis of real case studies; on strategies and tools of modern statistical data analysis, on the interplay of statistics and scientific learning, and on…  See more details below

Overview

Intended for the one- or two-term algebra-based course in statistical methods, this innovative book takes full advantage of the computer both as a computational and as an analytical tool. The focus is on a serious analysis of real case studies; on strategies and tools of modern statistical data analysis, on the interplay of statistics and scientific learning, and on the communication of results.

Product Details

ISBN-13:
9780534253806
Publisher:
Wadsworth
Publication date:
11/28/1996
Edition description:
Older Edition
Pages:
816
Product dimensions:
7.64(w) x 9.57(h) x 1.41(d)

Related Subjects

Table of Contents

1. Drawing Statistical Conclusions. 2. Inference Using t-Distributions. 3. A Closer Look at Assumptions. 4. Alternatives to the t-Tools. 5. Comparisons Among Several Samples. 6. Linear Combinations and Multiple Comparisons of Means. 7. Simple Linear Regression: A Model for the Mean. 8. A Closer Look at Assumptions for Simple Linear Regression. 9. Multiple Regression. 10. Inferential Tools for Multiple Regression. 11. Model Checking and Refinement. 12. Strategies for Variable Selection. 13. The Analysis of Variance for Two-Way Classifications. 14. Multifactor Studies Without Replication. 15. Adjustment for Serial Correlation. 16. Repeated Measures. 17. Exploratory Tools for Summarizing Multivariate Responses. 18. Comparisons of Proportions or Odds. 19. More Tools for Tables of Counts. 20. Logistic Regression for Binary Response Variables. 21. Logistic Regression for Binomial Counts. 22. Log-Linear Regression for Poisson Counts. 23. Elements of Research Design. 24. Factorial Treatment Arrangements and Blocking Designs. Appendix A: Tables. Appendix B: References.

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >