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＜電子ブック＞
The New Statistical Analysis of Data / by T.W. Anderson, Jeremy D. Finn

版	1st ed. 1996.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	1996
大きさ	XXI, 713 p : online resource
著者標目	*Anderson, T.W author Finn, Jeremy D author SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Statistics  FREE:Probability Theory FREE:Statistics
一般注記	I: Introduction -- 1—The Nature of Statistics -- 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 -- III: Probability -- 7 — Basic Ideas of Probability -- 8 — Probability Distributions -- 9 — Sampling Distributions -- 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 -- V: Statistical Methods for Other Problems -- 14 — Inference on Categorical Data -- 15 — Simple Regression Analysis -- 16 — Comparison of Several Populations -- 17 — Sampling from Populations: Sample Surveys -- Answers to Selected Exercises -- References -- Appendices -- Appendix I Table of the Standard Normal Distribution -- Appendix II Table of Binomial Probabilities -- Appendix IV Percentage Points of Chi-Square Distributions -- Appendix VI Table of Random Digits The Nature of the Book This book is a text for a first course in statistical concepts and methods. It introduces the analysis of data and statistical inference and explains various methods in enough detail so that the student can apply them. Little mathematical background is required; only high school algebra is used. No mathematical proof is given in the body of the text, although algebraic demonstrations are given in appendices at the ends of some chapters. The exposition is based on logic, verbal explanations, figures, and numerical examples. The verbal and conceptual levels are higher than the mathematical leveL The concepts and methods of statistical analysis are illustrated by more than 100 interesting real-life data sets. Some examples are taken from daily life; many deal with the behavioral sciences, some with business, the health sciences, the physical sciences, and engineering. The exercises are of varying degrees of difficulty. This book is suitable for undergraduates in many majors and for grad­ uate students in the health sciences, behavioral sciences, and education. It has grown out of our experience over many years of teaching such courses. An earlier text by T. W. Anderson and S. L. Sclove, The Statistical Analysis of Data, had similar objectives and was of a similar nature HTTP:URL=https://doi.org/10.1007/978-1-4612-4000-6

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