Introduction to probability and statistics.
- 8th ed. / William Mendenhall, Robert J. Beaver.
- Boston : PWS-Kent Pub. Co., c1991.
- xv, 716 p. : ill. ; 25 cm.
CONTENTS
CHAPTER 1: WHAT IS STATISTICS Illustrative statistical problems The population and the sample E.tc
CHAPTER 2: DESCRIBING SETS OF DATA A graphical method for describing a set of data: Relative frequency distributions Stem and leaf displays E.tc
CHAPTER 3: PROBABILITY AND PROBABILITY DISTRIBUTIONS The role of probability in statistics Probability and the sample space E.tc
CHAPTER 4: SEVERAL USEFUL DISCRETE DISTRIBUTIONS Introduction The binomial probability distribution The Poisson probability distribution E.tc
CHAPTER 5: THE NORMAL AND OTHER CONTINOUS DISTRIBUTIONS Probability distributions for continuous random variables The normal probability distribution E.tc
CHAPTER 6: SAMPLING DISTRIBUTIONS Sampling and statistics Sampling distributions The central limit theorem E.tc
CHAPTER 7: LARGE-SAMPLE ESTIMATION A brief summary Inference: The objective of statistics Types of estimators E.tc
CHAPTER 8: LARGE-SAMPLE TESTS OF HYPOTHESIS Testing hypotheses about population parameters A statistical test of hypothesis E.tc
CHAPTER 9: INFERENCE FROM SMALL SAMPLES Introduction Student's t distribution E.tc
CHAPTER 10: LINEAR REGRESSION AND CORRELATION Introduction A simple linear probabilistic model The method of least squares E.tc
CHAPTER 11: MULTIPLE REGERESSION ANALYSIS The objective of multiple regression analysis The multiple regression model and associated assumptions E.tc
CHAPTER 12: ANALYSIS OF ENUMERATIVE DATA A description of the experiment The chi-square test A test of an hypothesis concerning specified cell probabilities E.tc
CHAPTER 13: EXPERIMENTAL DESIGN AND THE ANALYSIS OF VARIANCE The design of an experiment The analysis of variance The completely randomized design E.tc
CHAPTER 14: NONPARAMETRIC STATISTICS Introduction The sign test for comparing two populations A comparison of statistical tests E.tc