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The Statistical Sleuth: A Course in Methods of Data Analysis (Book & CD)
by Fred Ramsey; Daniel Schafer | HC | Good
US $8.79
Approximately£6.58
Condition:
“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ”... Read moreAbout condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections.
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Located in: Aurora, Illinois, United States
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eBay item number:376260217835
Item specifics
- Condition
- Good
- Seller notes
- Binding
- Hardcover
- Book Title
- The Statistical Sleuth
- Weight
- 3 lbs
- Product Group
- Book
- IsTextBook
- Yes
- ISBN
- 9780534386702
About this product
Product Identifiers
Publisher
Brooks/Cole
ISBN-10
0534386709
ISBN-13
9780534386702
eBay Product ID (ePID)
1895202
Product Key Features
Number of Pages
816 Pages
Publication Name
Statistical Sleuth : a Course in Methods of Data Analysis
Language
English
Subject
Probability & Statistics / General
Publication Year
2001
Features
Revised
Type
Textbook
Subject Area
Mathematics
Format
Hardcover
Dimensions
Item Height
1.3 in
Item Weight
46.6 Oz
Item Length
9.3 in
Item Width
7.5 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2001-035218
Reviews
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 and Other Multivariate Responses.17. Exploratory Tools for Summarizing Multivariate Responses.18. Comparisons of Proportions or Odds.19. More Tools for Tables of Counts.20. Logistics 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.Bibliography.Index.
TitleLeading
The
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.5
Edition Description
Revised edition
Table Of Content
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 and Other Multivariate Responses. 17. Exploratory Tools for Summarizing Multivariate Responses. 18. Comparisons of Proportions or Odds. 19. More Tools for Tables of Counts. 20. Logistics 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. Bibliography. Index.
Synopsis
STATISTICAL SLEUTH is an innovative treatment of general statistical methods, taking full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package. In "The American Statistician" (February 2000, Vol. 54, No. 1), George Cobb commented, "What is new and different about Ramsey and Schafer's book, what makes it a 'larger contribution, ' is that it gives much more prominence to modeling and interpretation of the sort that goes beyond the routine patterns." His students did "substantially better" on term papers based on the analysis of data. In the book, 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. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics, STATISTICAL SLEUTH is an innovative treatment of general statistical methods, taking full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package. In "The American Statistician" (February 2000, Vol. 54, No. 1), George Cobb commented, "What is new and different about Ramsey and Schafer's book, what makes it a 'larger contribution,' is that it gives much more prominence to modeling and interpretation of the sort that goes beyond the routine patterns." His students did "substantially better" on term papers based on the analysis of data. In the book, 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. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics.
LC Classification Number
QA276.R33 2002
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