Introduction to probability and statistics : principles and applications for engineering and the computing sciences

Bibliographic Information

Introduction to probability and statistics : principles and applications for engineering and the computing sciences

J.S. Milton, Jesse C. Arnold

(McGraw-Hill series in probability and statistics / David Blackwell and Herbert Solomon, consulting editors)

McGraw-Hill, 1995

3rd ed., International ed

  • : pbk

Other Title

McGraw-Hill international editions, probability and statistics series

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Note

Includes index

Description and Table of Contents

Description

This text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. It offers a presentation of applications and theory. This edition also includes expanded coverage of quality control.

Table of Contents

  • Introduction to probability and counting
  • some probability laws
  • discrete distributions
  • continuous distributions
  • joint distributions
  • descriptive statistics
  • estimation
  • inferences on the mean and variance of a distribution
  • inferences on proportions
  • comparing two means and two variances
  • simple linear regression and correlation
  • multiple linear regression models
  • analysis of variance
  • factorial experiments
  • categorial data
  • statistical quality control.

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