86. Statistical Inference and Hypothesis Testing

  1. Gavriel Salvendy Ph.D. professor founding editor founding chair member scientist Honorary Doctrate Fellow
  1. Don T. Phillips Professor and
  2. Alberto Garcia-Diaz Professor

Published Online: 5 DEC 2007

DOI: 10.1002/9780470172339.ch86

Handbook of Industrial Engineering: Technology and Operations Management, Third Edition

Handbook of Industrial Engineering: Technology and Operations Management, Third Edition

How to Cite

Phillips, D. T. and Garcia-Diaz, A. (2001) Statistical Inference and Hypothesis Testing, in Handbook of Industrial Engineering: Technology and Operations Management, Third Edition (ed G. Salvendy), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470172339.ch86

Editor Information

  1. School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA

Author Information

  1. Professor, Department of Industrial Engineering, Texas A&M University, College Station, Texas, USA

Publication History

  1. Published Online: 5 DEC 2007
  2. Published Print: 11 MAY 2001

ISBN Information

Print ISBN: 9780471330578

Online ISBN: 9780470172339

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Keywords:

  • statistical inference and hypothesis testing;
  • alternative or secondary hypothesis;
  • test statistic, assumptions, and hypothesis test;
  • confidence interval estimation;
  • hypothesis testing designed experiment analysis

Summary

This chapter contains sections titled:

  • Introduction

  • Statistical Inference

  • Statistical Hypothesis Testing

  • Testing a Mean Value (µ) with σ2 Known

  • Testing A Mean Value (µ) with σ2 Unknown

  • Hypothesis Testing: Single Variance

  • Hypothesis Testing: Two Population Means with Variances Known

  • Hypothesis Testing with Two Means: Population Variances Unknown but Assumed Equal

  • Hypothesis Testing for Equality of two Population Variances

  • Equality of two Means with Variances Unknown and Not Equal

  • Confidence Interval Estimation

  • Maximum-Likelihood Estimators

  • Testing for Equality of Means and Variances for K Populations

  • Other Uses of Hypothesis Testing

  • Hypothesis Testing in the Analysis of Designed Experiments

  • References