The New Statistical Analysis of Data

Hardcover | December 13, 1996

byT.W. Anderson, Jeremy Finn

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A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of important concepts are based on providing intuition using illustrative figures and numerical examples. The first part shows how statistical methods are used in diverse fields in answering important questions, while part two covers descriptive statistics and considers the organisation and summarisation of data. Parts three to five cover probability, statistical inference, and more advanced statistical techniques.

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A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of i...

Format:HardcoverDimensions:734 pages, 9.25 × 8.5 × 0.27 inPublished:December 13, 1996Publisher:Springer New York

The following ISBNs are associated with this title:

ISBN - 10:0387946195

ISBN - 13:9780387946191

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Table of Contents

Part I: Introduction: 1. The Nature of statistics; Part II: Descriptive statistics: 2. Organization of data; 3. Measures of location; 4. Measures of variability; 5. Summarizing multivariate data: Association between numerical scales; 6. Summarizing multivariate data: Association between categorical variables; Part III: Probability; 7. Basic ideas of probability; 8. Probability distributions; 9. Sampling distributions; Part IV; Statistical inference; 10. Using a sample to estimate characteristics of one population; 11. Answering questions about population characteristics; 12. Differences between populations; 13. Variability in one population and in two populations; Part V: Statistical methods for other problems; 14. Inference on categorical data; 15. Simple regression models; 16. Comparison of several populations; 17. Sampling from populations: Sample surveys.