A Decision-Making Approach
7th Edition
Chapter 11
Hypothesis Tests and Estimation for Population Variances
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc.
Chap 11-1
Chapter Goals
After completing this chapter, you should be able to:
Formulate and complete hypothesis tests for a single population variance
Find critical chi-square distribution values from the chi-square table
Formulate and complete hypothesis tests for the difference between two population variances
Use the F table to find critical F values
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc.
Chap 11-2
Hypothesis Tests for Variances
Hypothesis Tests for Variances
Tests for a Single
Population Variance
Tests for Two
Population Variances
Chi-Square test statistic
F test statistic
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc.
Chap 11-3
Single Population
Hypothesis Tests for Variances
Tests for a Single
Population Variance
*
Chi-Square test statistic
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc.
H0: σ2 = σ02
HA: σ2 ≠ σ02
Two tailed test
H0: σ2 σ02
HA: σ2 < σ02
Lower tail test
H0: σ2 ≤ σ02
HA: σ2 > σ02
Upper tail test
Chap 11-4
Chi-Square Test Statistic
Hypothesis Tests for Variances
The chi-squared test statistic for a Single Population Variance is:
Tests for a Single
Population Variance
Chi-Square test statistic
(n 1)s
2 σ 2
*
2
where
2 = standardized chi-square variable n = sample size s2 = sample variance σ2 = hypothesized variance
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc.
Chap 11-5
The Chi-square Distribution
The chi-square distribution is a family of distributions, depending on degrees of freedom:
d.f. = n - 1
0 4 8 12 16 20 24 28