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The Statistical Sleuth: A Course in Methods of Data Analysis,9780534253806
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The Statistical Sleuth: A Course in Methods of Data Analysis

by
Edition:
1st
ISBN13:

9780534253806

ISBN10:
0534253806
Format:
Paperback
Pub. Date:
10/30/1996
Publisher(s):
Duxbury Press
List Price: $96.33
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Summary

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. It includes:
-- Real-world case studies to introduce every method discussed
-- Coverage that focuses on the types of problems graduate students typically encounter, with regression as the principle featured tool
-- Strong, early coverage (Chapters 1-4) of the fundamentals of drawing sound inferences (introduced by means of two-sample problems)
-- Excellent discussion of design issues (as they apply to case studies) throughout, with two experimental design chapters at the end of the book
-- A plentiful variety of exercises: conceptual, computational, and data problems

Table of Contents

Preface xv
Drawing Statistical Conclusions
1(26)
Case Studies
2(3)
Statistical Inference and Study Design
5(5)
Measuring Uncertainty in Randomized Experiments
10(4)
Measuring Uncertainty in Observational Studies
14(1)
Related Issues
15(6)
Summary
21(1)
Exercises
22(5)
Inference Using t-Distributions
27(26)
Case Studies
28(2)
One-Sample t-Tools and the Paired t-Test
30(5)
A t-Ratio for Two-sample Inference
35(7)
Inferences in a Two-treatment Randomized Experiment
42(2)
Related Issues
44(3)
Summary
47(1)
Exercises
48(5)
A Closer Look at Assumptions
53(28)
Case Studies
54(3)
Robustness of the Two-sample t-Tools
57(4)
Resistance of the Two-sample t-Tools
61(1)
Practical Strategies for the Two-sample Problem
62(3)
Transformations of the Data
65(5)
Related Issues
70(1)
Summary
71(1)
Exercises
72(9)
Alternatives to the t-Tools
81(27)
Case Studies
82(3)
The Rank-Sum Test
85(6)
Other Alternatives for Two Independent Samples
91(4)
Alternatives for Paired Data
95(3)
Related Issues
98(3)
Summary
101(1)
Exercises
101(7)
Comparisons Among Several Samples
108(34)
Case Studies
109(4)
Comparing Any Two of the Several Means
113(3)
The One-way Analysis of Variance F-Test
116(8)
Robustness and Model Checking
124(2)
Related Issues
126(7)
Summary
133(1)
Exercises
134(8)
Linear Combinations and Multiple Comparisons of Means
142(25)
Case Studies
143(3)
Inferences About Linear Combinations of Group Means
146(7)
Simultaneous Inferences
153(1)
Some Multiple Comparison Procedures
154(4)
Related Issues
158(3)
Summary
161(1)
Exercises
162(5)
Simple Linear Regression: A Model for the Mean
167(31)
Case Studies
168(3)
The Simple Linear Regression Model
171(4)
Least Squares Regression Estimation
175(5)
Inferential Tools
180(7)
Related Issues
187(3)
Summary
190(1)
Exercises
191(7)
A Closer Look at Assumptions for Simple Linear Regression
198(27)
Case Studies
199(3)
Robustness of Least Squares Inferences
202(2)
Graphical Tools for Model Assessment
204(3)
Interpretation After Log Transformations
207(2)
Assessment of Fit Using the Analysis of Variance
209(4)
Related Issues
213(4)
Summary
217(1)
Exercises
218(7)
Multiple Regression
225(30)
Case Studies
226(4)
Regression Coefficients
230(4)
Specially Constructed Explanatory Variables
234(7)
A Strategy for Data Analysis
241(1)
Graphical Methods for Data Exploration and Presentation
242(4)
Related Issues
246(1)
Summary
247(1)
Exercises
248(7)
Inferential Tools for Multiple Regression
255(36)
Case Studies
256(3)
Inferences About Regression Coefficients
259(9)
Extra-Sums-of-Squares F-Tests
268(7)
Related Issues
275(6)
Summary
281(1)
Exercises
281(10)
Model Checking and Refinement
291(34)
Case Studies
292(5)
Residual Plots
297(3)
A Strategy for Dealing with Influential Observations
300(2)
Case-Influence Statistics
302(6)
Refining the Model
308(6)
Related Issues
314(2)
Summary
316(1)
Exercises
317(8)
Strategies for Variable Selection
325(37)
Case Studies
326(6)
Specific Issues Relating to Many Explanatory Variables
332(5)
Sequential Variable Selection Techniques
337(4)
Model Selection Among All Subsets
341(4)
Analysis of the Sex Discrimination Data
345(4)
Related Issues
349(5)
Summary
354(1)
Exercises
355(7)
The Analysis of Variance for Two-way Classifications
362(35)
Case Studies
363(4)
Additive and Nonadditive Models for Two-way Tables
367(4)
Analysis of the Seaweed Grazer Data
371(9)
Analysis of the Pygmalion Data
380(7)
Related Issues
387(4)
Summary
391(1)
Exercises
392(5)
Multifactor Studies Without Replication
397(27)
Case Studies
398(4)
Strategies for Analyzing Tables with One Observation per Cell
402(1)
Analysis of the Chimpanzee Learning Times Study
403(6)
Analysis of the Soybean Data
409(6)
Related Issues
415(4)
Summary
419(1)
Exercises
420(4)
Adjustment for Serial Correlation
424(26)
Case Studies
425(2)
Comparing the Means of Two Time Series
427(6)
Regression After Transformation in the AR(1) Model
433(3)
Determining if Serial Correlation is Present
436(3)
Diagnostic Procedures for Judging the Adequacy of the AR(1) Model
439(4)
Related Issues
443(1)
Summary
443(1)
Exercises
444(6)
Repeated Measures
450(33)
Case Studies
451(3)
Tools and Strategies for Analyzing Repeated Measures
454(5)
Comparing the Means of Bivariate Responses in Two Groups
459(8)
One-sample Analysis with Bivariate Responses
467(5)
Related Issues
472(2)
Summary
474(1)
Exercises
474(9)
Exploratory Tools for Summarizing Multivariate Responses
483(32)
Case Studies
484(4)
Linear Combinations of Variables
488(2)
Principal Components Analysis
490(7)
Canonical Correlations Analysis
497(4)
Introduction to Other Multivariate Tools
501(6)
Summary
507(2)
Exercises
509(6)
Comparisons of Proportions or Odds
515(23)
Case Studies
516(3)
Inferences for the Difference of Two Proportions
519(6)
Inference About the Ratio of Two Odds
525(4)
Inference from Retrospective Studies
529(3)
Summary
532(1)
Exercises
533(5)
More Tools for Tables of Counts
538(26)
Case Studies
539(2)
Population Models for 2 x 2 Tables of Counts
541(4)
The Chi-Squared Test
545(3)
Fisher's Exact Test: The Randomization (Permutation) Test for 2 x 2 Tables
548(4)
Combining Results from Several Tables with Equal Odds Ratios
552(4)
Related Issues
556(1)
Summary
557(1)
Exercises
558(6)
Logistic Regression for Binary Response Variables
564(35)
Case Studies
565(3)
The Logistic Regression Model
568(4)
Estimation of Logistic Regression Coefficients
572(5)
The Drop-in-Deviance Test
577(6)
Strategies for Data Analysis Using Logistic Regression
583(2)
Analyses of Case Studies
585(4)
Related Issues
589(1)
Summary
590(1)
Exercises
591(8)
Logistic Regression for Binomial Counts
599(33)
Case Studies
600(4)
Logistic Regression for Binomial Responses
604(1)
Model Assessment
605(4)
Inferences About Logistic Regression Coefficients
609(3)
Extra-binomial Variation
612(3)
Analysis of Moth Predation Data
615(5)
Related Issues
620(5)
Summary
625(2)
Exercises
627(5)
Log-Linear Regression for Poisson Counts
632(27)
Case Studies
633(3)
Log-Linear Regression for Poisson Responses
636(3)
Model Assessment
639(4)
Inferences About Log-Linear Regression Coefficients
643(1)
Extra-Poisson Variation and the Log-Linear Model
644(5)
Further Issues
649(2)
Summary
651(1)
Exercises
652(7)
Elements of Research Design
659(24)
Case Studies
660(1)
Considerations in Forming Research Objectives
660(1)
Research Design Tool Kit
661(3)
Design Choices That Affect Accuracy and Precision
664(4)
Choosing a Sample Size
668(3)
Steps in Designing a Study
671(6)
Related Issue---A Factor of Four
677(1)
Summary
678(1)
Exercises
678(5)
Factorial Treatment Arrangements and Blocking Designs
683(24)
Case Studies
684(1)
Treatments
685(2)
Factorial Arrangement of Treatment Levels
687(10)
Blocking
697(4)
Summary
701(1)
Exercises
702(5)
APPENDIX A Tables 707(17)
A.1 Probabilities of the Standard Normal Distribution
708(2)
A.2 Selected Percentiles of t-Distributions
710(1)
A.3 Selected Percentiles of Chi-Squared Distributions
711(1)
A.4 Selected Percentiles of F-Distributions
712(8)
A.5 Selected Percentiles of Studentized Range Distributions
720(4)
APPENDIX B References 724(3)
Answer Section 727(10)
Index 737


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