Essentials of Statistics for Scientists and Technologists

1 Introduction or 'What is statistics?'.- 2 The presentation of data.- 3 Probability, its meaning, real and theoretical populations.- 4 Basic properties of the normal distribution.- 5 Some properties of sampling distributions.- 6 Applications of normal sampling theory; significance tests.- 7 Normal sampling theory: test for difference between several sample means, analysis of variance, design of experiments.- 8 Normal sampling theory: estimation of 'parameters' by confidence intervals, by maximum likelihood.- 9 The binomial distribution: laws of probability, applications of the binomial distribution, the multi nomial distribution.- 10 The Poisson, negative exponential, and rectangular distributions.- 11 The ?2test for 'goodness of fit': test for 'association'.- 12 Fitting lines and curves to data, least squares method.- 13 Regression curves and lines, correlation coefficient, normal bivariate distribution.- 14 Some distribution-independent (or 'distribution-free' or 'non-parametric') tests.- 15 Note on sampling techniques and quality control.- 16 Some problems of practical origin.- Answers.