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Essentials of Statistics for Scientists and Technologists

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Cover of 'Essentials of Statistics for Scientists and Technologists'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction or ‘What is statistics?’
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    Chapter 2 The presentation of data
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    Chapter 3 Probability, its meaning, real and theoretical populations
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    Chapter 4 Basic properties of the normal distribution
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    Chapter 5 Some properties of sampling distributions
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    Chapter 6 Applications of normal sampling theory; significance tests
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    Chapter 7 Normal sampling theory: test for difference between several sample means, analysis of variance, design of experiments
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    Chapter 8 Normal sampling theory: estimation of ‘parameters’ by confidence intervals, by maximum likelihood
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    Chapter 9 The binomial distribution: laws of probability, applications of the binomial distribution, the multinomial distribution
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    Chapter 10 The Poisson, the negative exponential, and the rectangular distributions
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    Chapter 11 The χ 2 -test for ‘goodness of fit’: test for ‘association’
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    Chapter 12 Fitting lines and curves to data, least squares method
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    Chapter 13 Regression curves and lines, correlation coefficient, normal bivariate distribution
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    Chapter 14 Some distribution-independent (or ‘distribution-free’ or ‘non-parametric’) tests
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    Chapter 15 Note on sampling techniques and quality control
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    Chapter 16 Some problems of practical origin
Attention for Chapter 12: Fitting lines and curves to data, least squares method
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Chapter title
Fitting lines and curves to data, least squares method
Chapter number 12
Book title
Essentials of Statistics for Scientists and Technologists
Published by
Springer, Boston, MA, January 1966
DOI 10.1007/978-1-4615-8615-9_12
Book ISBNs
978-1-4615-8617-3, 978-1-4615-8615-9
Authors

C. Mack

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