Introduction to Probability and Statistics

Introduction to Probability and Statistics

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Description

The text motivates and explains in an elementary, but effective way the logic underlying the principles of inferential statistics. Students are taught not only how to use statistical techniques, but also why these techniques work. Probability is presented as the vehicle to bridge the gap between descriptive and inferential statistics. Histograms are used throughout to indicate or suggest basic properties of theoretical distributions. Each chapter is introduced with a list of objectives and concludes with a summary. In addition, chapters contain exercises at the end of each section, review exercises at the end of the chapter, a list of important notations, a chapter achievement test and practical applications from a cross-section of academic disciplines. The end of section exercises have been classified into two types: type A offering additional drill and practice, similar to those presented in the text; and type B more difficult exercises, extending the ideas presented in the text and asking the student to supply simple proofs of important facts and often developing new ideas. Intermediate algebra is a prerequisite. This book should be of interest to for degree and diploma students on business, life science, mathematics and statistics courses.show more

Product details

  • Hardback | 600 pages
  • 190 x 230mm | 1,222g
  • Cengage Learning, Inc
  • BROOKS/COLE
  • CA, United States
  • English
  • 0534070027
  • 9780534070021

Table of contents

Part I: Descriptive statistics. Introduction. Descriptive statistics - organizing data. Descriptive statistics analysis of bivariate data. Part II: Basic probability. Introduction to elementary probability. Binominal distribution. Normal distributions. Part III: Inferential statistics. Sampling theory. Estimation. Hypothesis testing. Inferences concerning two parameters. Analysis of count data. Single-factor analysis of variance. Linear regression analysis. Nonparametric tests for large samples. Answers to selected problems. Appendices.show more