Statistics is of ever-increasing importance in Science and Technology and this book presents the essentials of the subject in a form suitable either as the basis of a course of lectures or to be read and/or used on its own. It assumes very little in the way of mathematical knowledge-just the ability to substitute numerically in a few simple formulae. However, some mathematical proofs are outlined or given in full to illustrate the derivation of the subject; these can be omitted without loss of understanding. The book does aim at making clear the scope and nature of those essential tests and methods that a scientist or technologist is likely to need; to this end each chapter has been divided into sections with their own subheadings and some effort has been made to make the text unambiguous (if any reader finds a misleading point anywhere I hope he will write to me about it). Also with this aim in view, the equality of probability to proportion of population is stated early, then the normal distribution and the taking of samples is discussed. This occupies the first five chapters. With the principles of these chapters understood, the student can immediately learn the significance tests of Chapter 6 and, if he needs it, the analysis of variance of Chapter 7. For some scientists this will be most of what they need. However, they will be in a position to read and/or use the remaining chapters without undue difficulty.

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zlib/no-category/C. Mack M.A.(CANTAB), F.INST.P., F.S.S., F.I.M.A. (auth.)/Essentials of Statistics for Scientists and Technologists_5925994.pdf

Heinemann Educational Books Ltd

Springer London, Limited

United States, United States of America

Springer Nature, New York, NY, 2012

Boston, MA, 1966

Boston, MA, 1967

Jan 01, 1966

S.l, 2012

lg2751447

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Statistics is of ever-increasing importance in Science and Technology and this book presents the essentials of the subject in a form suitable either as the basis of a course of lectures or to be read and/or used on its own. It assumes very little in the way of mathematical knowledge-just the ability to substitute numerically in a few simple formulae. However, some mathematical proofs are outlined or given in full to illustrate the derivation of the subject; these can be omitted without loss of understanding. The book does aim at making clear the scope and nature of those essential tests and methods that a scientist or technologist is likely to need; to this end each chapter has been divided into sections with their own subheadings and some effort has been made to make the text unambiguous (if any reader finds a misleading point anywhere I hope he will write to me about it). Also with this aim in view, the equality of probability to proportion of population is stated early, then the normal distribution and the taking of samples is discussed. This occupies the first five chapters. With the principles of these chapters understood, the student can immediately learn the significance tests of Chapter 6 and, if he needs it, the analysis of variance of Chapter 7. For some scientists this will be most of what they need. Howcver, they will be in a position to read and/or use the remaining chapters without undue difficulty

Front Matter....Pages i-vii
Introduction or ‘What is statistics?’....Pages 1-2
The presentation of data....Pages 3-14
Probability, its meaning, real and theoretical populations....Pages 15-22
Basic properties of the normal distribution....Pages 23-29
Some properties of sampling distributions....Pages 30-37
Applications of normal sampling theory; significance tests....Pages 38-51
Normal sampling theory: test for difference between several sample means, analysis of variance, design of experiments....Pages 52-62
Normal sampling theory: estimation of ‘parameters’ by confidence intervals, by maximum likelihood....Pages 63-71
The binomial distribution: laws of probability, applications of the binomial distribution, the multinomial distribution....Pages 72-88
The Poisson, the negative exponential, and the rectangular distributions....Pages 89-94
The χ 2 -test for ‘goodness of fit’: test for ‘association’....Pages 95-105
Fitting lines and curves to data, least squares method....Pages 106-115
Regression curves and lines, correlation coefficient, normal bivariate distribution....Pages 116-125
Some distribution-independent (or ‘distribution-free’ or ‘non-parametric’) tests....Pages 126-131
Note on sampling techniques and quality control....Pages 132-134
Some problems of practical origin....Pages 135-150
Back Matter....Pages 151-174

2020-08-30