Introduction to probability and statistics.

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

Includes index.