文档介绍：CHAPTER 11: Hypothesis Testing Involving Two Sample Means or Proportions
to pany
Introduction to Business Statistics
fourth edition, by Ronald M. Weiers
Presentation by Priscilla Chaffe-Stengel
Donald N. Stengel
© 2002 The Wadsworth Group
Chapter 11 - Learning Objectives
Select and use the appropriate hypothesis test paring
Means of two independent samples
Means of two dependent samples
Proportions of two independent samples
Variances of two independent samples
Construct and interpret the appropriate confidence interval for differences in
Means of two independent samples
Means of two dependent samples
Proportions of two independent samples
© 2002 The Wadsworth Group
Chapter 11 - Key Terms
Independent vs dependent samples
Pooled estimate of mon mon standard deviation
population proportion
Standard error of the estimate for the
difference of two population means
difference of two population proportions
Matched, or paired, observations
Average difference
© 2002 The Wadsworth Group
Independent vs Dependent Samples
Independent Samples:
Samples taken from two different populations, where the selection process for one sample is independent of the selection process for the other sample.
Dependent Samples: Samples taken from two populations where either (1) the element sampled is a member of both populations or (2) the element sampled in the second population is selected because it is similar on all other characteristics, or “matched,” to the element selected from the first population
© 2002 The Wadsworth Group
Examples: Independent versus Dependent Samples
Independent Samples:
Testing pany’s claim that its peanut butter contains less fat than that produced by petitor.
Dependent Samples:
Testing the relative fuel efficiency of 10 trucks that run the same route twice, once with the current air filter installed and once with the new filter.
© 2002 The Wadsworth Group
Identifying the Appropriate Test Statistic
Ask the following questions:
Are the data fro