Statistical Sleuth A Course in Methods of Data Analysis

ISBN-10: 0534386709
ISBN-13: 9780534386702
Edition: 2nd 2002 (Revised)
List price: $369.95
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Description: 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  More...

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Book details

List price: $369.95
Edition: 2nd
Copyright year: 2002
Publisher: Brooks/Cole
Publication date: 10/5/2001
Binding: Hardcover
Pages: 816
Size: 7.75" wide x 9.75" long x 1.50" tall
Weight: 3.190

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.

Drawing Statistical Conclusions
Case Studies
Statistical Inference and Study Design
Measuring Uncertainty in Randomized Experiments
Measuring Uncertainty in Observational Studies
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Answers to Conceptual Exercises
Inference Using t-Distributions
Case Studies
One-Sample t-Tools and the Paired t-Test
A t-Ratio for Two-sample Inference
Inferences in a Two-Treatment Randomized Experiment
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
A Closer Look at Assumptions
Case Studies
Robustness of the Two-Sample t-Tools
Resistance of the Two-Sample t-Tools
Practical Strategies for the Two-Sample Problem
Transformations of the Data
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Alternatives to the t-Tools
Case Studies
The Rank-Sum Test
Other Alternatives for Two Independent Samples
Alternatives for Paired Data
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Comparisons Among Several Samples
Case Studies
Comparing Any Two of the Several Means
The One-Way Analysis of Variance F-Test
More Applications of the Extra-Sum-of-Squares F-Test
Robustness and Model Checking
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Linear Combinations and Multiple Comparisons of Means
Case Studies
Inferences About Linear Combinations of Group Means
Simultaneous Inferences
Some Multiple Comparison Procedures
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Simple Linear Regression: A Model for the Mean
Case Studies
The Simple Linear Regression Model
Least Squares Regression Estimation
Inferential Tools
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
A Closer Look at Assumptions for Simple Linear Regression
Case Studies
Robustness of Least Squares Inferences
Graphical Tools for Model Assessment
Interpretation After Log Transformations
Assessment of Fit Using the Analysis of Variance
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Multiple Regression
Case Studies
Regression Coefficients
Specially Constructed Explanatory Variables
A Strategy for Data Analysis
Graphical Methods for Data Exploration and Presentation
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Inferential Tools for Multiple Regression
Case Studies
Inferences About Regression Coefficients
Extra-Sums-of-Squares F-Tests
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Model Checking and Refinement
Case Studies
Residual Plots
A Strategy for Dealing with Influential Observations
Case-Influence Statistics
Refining the Model
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Strategies for Variable Selection
Case Studies
Specific Issues Relating to Many Explanatory Variables
Sequential Variable Selection Techniques
Model Selection Among All Subsets
Posterior Beliefs About Different Models
Analysis of the Sex Discrimination Data
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
The Analysis of Variance for Two-Way Classifications
Case Studies
Additive and Nonadditive Models for Two-Way Tables
Analysis of the Seaweed Grazer Data
Analysis of the Pygmalion Data
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Multifactor Studies Without Replication
Case Studies
Strategies for Analyzing Tables with One Observation per Cell
Analysis of the Chimpanzee Learning Times Study
Analysis of the Soybean Data
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Adjustment for Serial Correlation
Case Studies
Comparing the Means of Two Time Series
Regression After Transformation in the AR(1) Model
Determining if Serial Correlation is Present
Diagnostic Procedures for Judging the Adequacy of the AR(1) Model
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Repeated Measures and Other Multivariate Responses
Case Studies
Tools and Strategies for Analyzing Repeated Measures
Comparing the Means of Bivariate Responses in Two Groups
One-Sample Analysis with Bivariate Responses
Related Issues
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Exploratory Tools for Summarizing Multivariate Responses
Case Studies
Linear Combinations of Variables
Principal Components Analysis
Canonical Correlations Analysis
Introduction to Other Multivariate Tools
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Comparisons of Proportions or Odds
Case Studies
Inferences for the Difference of Two Proportions
Inference About the Ratio of Two Odds
Inference from Retrospective Studies
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
More Tools for Tables of Counts
Case Studies
Population Models for 2 x 2 Tables of Counts
The Chi-Squared Test
Fisher's Exact Test: The Randomization (Permutation) Test for 2 x 2 Tables
Combining Results from Several Tables with Equal Odds Ratios
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Logistic Regression for Binary Response Variables
Case Studies
The Logistic Regression Model
Estimation of Logistic Regression Coefficients
The Drop-In-Deviance Test
Strategies for Data Analysis Using Logistic Regression
Analyses of Case Studies
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Logistic Regression for Binomial Counts
Case Studies
Logistic Regression for Binomial Responses
Model Assessment
Inferences about Logistic Regression Coefficients
Extra-Binomial Variation
Analysis of Moth Predation Data
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Log-Linear Regression for Poisson Counts
Case Studies
Log-Linear Regression for Poisson Responses
Model Assessment
Inferences about Log-Linear Regression Coefficients
Extra-Poisson Variation and the Log-Linear Model
Related Issues
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Elements of Research Design
Case Study
Considerations in Forming Research Objectives
Research Design Tool Kit
Design Choices that Affect Accuracy and Precision
Choosing a Sample Size
Steps in Designing a Study
Related Issue--A Factor of Four
Summary
Exercises
Conceptual Exercises
Study Designs for Discussion
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Factorial Treatment Arrangements and Blocking Designs
Case Study
Treatments
Factorial Arrangement of Treatment Levels
Blocking
Summary
Exercises
Conceptual Exercises
Computational Exercises
Data Problems
Answers to Conceptual Exercises
Tables
Probabilities of the Standard Normal Distribution
Selected Percentiles of t-Distributions
Selected Percentiles of Chi-Squared Distributions
Selected Percentiles of F-Distributions
Selected Percentiles of Studentized Range Distributions
Bibliography
Index

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