Statistics (made Simple Books)

This is one of the texts in the "Made Simple" series", offering an easy introduction to statistics. Statistics covers the basic principles of Statistics. The book starts by tackling the importance and the two kinds of statistics; the presentation of sample data; the definition, illustration and explanation of several measures of location; and the measures of variation. The text then discusses elementary probability, the normal distribution and the normal approximation to the binomial. Testing of statistical hypotheses and tests of hypotheses about the theoretical proportion of successes in a binomial population and about the theoretical mean of a normal population are explained. The text then considers testing of hypotheses about the mean of a normal population when the population variance is not known and testing the hypotheses about the mean of populations that are not normal. The book also describes correlation and regression, confidence limits, non-parametric statistics, and the analysis of variance. The text concludes by giving more complex problems and step-by-step directions for the various statistical tests. Statisticians and students taking Statistics courses will find the book invaluable. Content: In the same series, Page ii Front Matter, Page iii Copyright, Page iv Foreword, Page v CHAPTER I - WHAT IS STATISTICS?, Pages 1-5 CHAPTER II - PICTORIAL DESCRIPTION OF DATA, Pages 6-15 CHAPTER III - MEASURES OF LOCATION, Pages 16-26 CHAPTER IV - MEASURES OF VARIATION, Pages 27-40 CHAPTER V - ELEMENTARY PROBABILITY AND THE BINOMIAL DISTRIBUTION, Pages 41-79 CHAPTER VI - THE NORMAL DISTRIBUTION, Pages 80-99 CHAPTER VII - SOME TESTS OF STATISTICAL HYPOTHESES, Pages 100-112 CHAPTER VIII - MORE TESTS OF HYPOTHESES, Pages 113-130 CHAPTER IX - CORRELATION AND REGRESSION, Pages 131-149 CHAPTER X - CONFIDENCE LIMITS, Pages 150-167 CHAPTER XI - NON-PARAMETRIC STATISTICS, Pages 168-194 CHAPTER XII - THE ANALYSIS OF VARIANCE, Pages 195-217 APPENDIX - LIST OF SELECTED SYMBOLS, Pages 218-239 ANSWERS TO EXERCISES, Pages 240-243 Index, Pages 245-246 In order to study the subject of statistics intelligently we should first understand what the term means today, and know something of its origin.