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Introduction to Statistics Through Resampling Methods and R/S-PLUS

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Introduction to Statistics Through Resampling Methods and R/S-PLUS



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Introduction to Statistics Through Resampling Methods and R/S-PLUS by Phillip I. Good
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Introduction to Statistics Through Resampling Methods and R/S-PLUS aspires to introduce statistical methodology to a wide audience, simply, intuitively, and efficiently, through resampling from data at hand and by way of the computer programs R and S-PLUS. The objective of the book is to use quantitative methods to characterize, review, report on, test, estimate, and classify findings.

Table of Contents

Preface. 1. Variation. 1.1 Variation. 1.2. Collecting Data. 1.3. Summarizing Your Data. 1.4. Types of Data. 1.5. Reporting Your Results. 1.6. Measures of Location. 1.7. Samples and Populations. 1.8. Variation- Within and Between. 1.9. Summary and Review. 2. Probability. 2.1. Probability. 2.2. Binomial. 2.3. Condition Probability. 2.4. Independence. 2.5. Applications to Genetics. 2.6. Summary and Review. 3. Distributions. 3.1. Distribution of Values. 3.2. Discrete Distributions. 3.3. Continuous Distributions. 3.4. Properties of Independence Observations. 3.5. Testing A Hypothesis. 3.6. Estimating Effect Size. 3.7 Summary and Review. 4. Testing Hypotheses. 4.1. One-Sample Problems. 4.2. Comparing Two Samples. 4.3. Which Test Should e Use? 4.4. Summary and Review. 5. Designing an Experiment or Survey. 5.1. The Hawthorne Effect. 5.2. Designing an Experiment or Survey. 5.3. How Large a Sample. 5.4. Meta-Analysis. 5.5. Summary and Review. 6. Analyzing Complex Experiments. 6.1. Changes Measured in Percentages. 6.2. Comparing More Than Two Samples. 6.3. Equalizing Variances. 6.4. Categorical Data. 6.5. Multivariate Analysis. 6.6. Summary and Review. 7. Developing Models. 7.1. Models. 7.2. Regression. 7.3. Fitting a Regression Equation. 7.4. Problems with Regression. 7.5 Quantile Regression. 7.6. Validation. 7.7 Classification and Regression Trees. 7.8 Summary and Review. 8. Reporting Your Findings. 8.1. What to Report. 8.2. Text, Tables, of Graph? 8.3. Summarizing Your Results. 8.4 Reporting Analysis Results. 8.5 Exceptions are the Real Story. 9. Problem Solving. 9.1. Real Life Problems. 9.2. Problem Sets. 9.3. Solutions. Appendix: S-PLUS. Answers to Selected Exercises. Subject Index. Index to R Functions.

Author Biography

PHILLIP I. GOOD, PHD, is Operations Manager of Information Research, a consulting firm specializing in statistical solutions for private and public organizations. He has published more than thirty scholarly works, more than 600 articles, and fourteen books, including Common Errors in Statistics (and How to Avoid Them) and A Manager's Guide to the Design and Conduct of Clinical Trials, both from Wiley.
Release date NZ
August 5th, 2005
Country of Publication
United States
John Wiley & Sons Inc
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