Some Theory of Sampling

Some Theory of Sampling

Some Theory of Sampling

Some Theory of Sampling

Synopsis

Analysis of the problems, theory and design of sampling techniques for social scientists, industrial managers and others who find statistics increasingly important in their work. Only college algebra assumed. Illustrated with dozens of actual large-scale surveys in government and industry. 61 tables. 90 figures.

Excerpt

The preface gives an author a chance to write his own review of the book. A review should state what the author tried to do, and why. It should also state whether he succeeded, but on this point only the judgment of the reader counts. Briefly, the aim here is to teach some theory of sampling as met in large-scale surveys in government and industry, and to develop in the student some power and desire for originality in dealing with problems of sampling.

This book is planned for two types of teaching. In the social sciences and commerce, teachers will find that Chapters 1 through 13 constitute a year's study. A first course in statistical methods is assumed. The day is past when students of the social sciences may hope to learn their subjects without thinking quantitatively with the aid of mathematics, yet it is a fact that most of the essential theory of these chapters goes not beyond the level of college algebra, although occasionally some forgotten calculus may need refreshment. In the natural sciences, engineering, and industrial management, students may start with Chapter 4 and work their way through to the end of the book, touching Chapters 11 and 12 only lightly for want of time. Such students, it is presupposed, will have done reading in the statistical control of quality and in the design of experiment.

Graduates in mathematical statistics, when taking up practice, discover yawning gaps between theory and practice: the better their theoretical training, the wider the gap. Chapters 1, 2, 4, 5, 11, and 12 are designed to help to bridge this gap.

One aim of the book has been directed toward the needs of the mature specialist in subject-matter who, like the author, must teach himself in the theory of statistics.

Copious exercises have been provided for the classroom and for the self-taught student. Almost every exercise illustrates some principle that has been found useful in the author's experience as a teacher and as a consultant in government, industry, and marketing.

It should be made clear that this book is not intended as a textbook in mathematical statistics. The reader is therefore advised to supplement his studies by pursuing mathematical works like the books by Fisher, Aitken, Neyman, E. S. Pearson, Cramér, Wilks, Kendall, Wald, Bose, the Statistical Research Group, and others, and by attendance at a statistical teaching center, if possible.

To the theoretical statistician of today the problem of sampling is the development and application of the theory of probability to the planning and interpretation of surveys, with the aim of acquiring and . . .

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