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＜E-Book＞
Elementary Statistical Methods / by G. Barrie Wetherill

Edition	2nd ed. 1972.
Publisher	(New York, NY : Springer US : Imprint: Springer)
Year	1972
Size	XIII, 335 p. 1 illus : online resource
Authors	*Wetherill, G. Barrie author SpringerLink (Online service)
Subjects	LCSH:Mathematics FREE:Applications of Mathematics
Notes	1 Introduction -- 2 Probability and Probability Distributions -- 3 Expectation and its Applications -- 4 Sampling Distributions and Statistical Inference -- 5 Single Sample Problems -- 6 Two Sample Problems -- 7 Non-parametric Tests -- 8 The Analysis of Discrete Data -- 9 Statistical Models and Least Squares -- 10 Linear Regression -- 11 Multiple Regression -- 12 Analysis of Variance -- Miscellaneous Exercises -- Appendix I Notes on desk computation -- Appendix II Statistical tables -- Appendix III Hints to the solution of selected exercises -- References -- Author Index This book is mainly based on lectures given by Professor D. R. Cox and myself at Birkbeck College over a period of eight to nine years. It began as a joint venture, but pressure of other work made it necessary for Professor Cox to withdraw early on. I have throughout received much valuable advice and encouragement from Professor Cox, but of course, I am solely responsible for the text, and any errors remaining in it. The book is intended as a first course on statistical methods, and there is a liberal supply of exercises. Although the mathematical level of the book is low, I have tried to explain carefully the logical reasoning behind the use of the methods discussed. Some of the exercises which require more difficult mathematics are marked with an asterisk, and these may be omitted. In this way, I hope that the book will satisfy the needs for a course on statistical methods at a range of mathematical levels. It is essential for the reader to work through the numerical exercises, for only in this way can he grasp the full meaning and usefulness of the statistical techniques, and gain practice in the interpretation of the results. Chapters 7 and 8 discuss methods appropriate for use on ranked or discrete data, and Chapters 9-12 do not depend on these chapters. Chapters 7 and 8 may therefore be omitted, if desired HTTP:URL=https://doi.org/10.1007/978-1-4899-3288-4

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