Introduction to Statistics and Data Analysis
Introduction to Statistics and Data Analysis
5th Edition
ISBN: 9781305115347
Author: Roxy Peck; Chris Olsen; Jay L. Devore
Publisher: Brooks Cole
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Chapter 12, Problem 37CR
To determine

Check whether it is reasonable to conclude that the response proportions are not the same for all five countries at 0.01 significance level.

Expert Solution & Answer
Check Mark

Answer to Problem 37CR

There is convincing evidence that the response proportions are not all the same for all five countries.

Explanation of Solution

Calculation:

The given data represent classifications of different countries for the response to the question of torture against suspected terrorists to obtain information about the terrorism activities.

The steps in chi-square test for homogeneity are as follows:

Null and alternative Hypotheses:

Null hypothesis:

H0: The proportions falling into the response categories for all five countries are all the same.

Alternative hypothesis:

Ha: The proportions falling into the response categories for all five countries are not the same.

Level of significance:

α=0.01

Assumptions:

  • It is given that the samples are random samples.
  • The expected cell counts are calculated as shown below:
CountryResponseTotal
NeverRarelySometimesOftenNot Sure
Country I1,000×2,0005,000=4001,000×1,1005,000=2221,000×1,2205,000=2441,000×4505,000=901,000×2205,000=441,000
Country S1,000×2,0005,000=4001,000×1,1005,000=2221,000×1,2205,000=2441,000×4505,000=901,000×2205,000=441,000
Country F1,000×2,0005,000=4001,000×1,1005,000=2221,000×1,2205,000=2441,000×4505,000=901,000×2205,000=441,000
Country U1,000×2,0005,000=4001,000×1,1005,000=2221,000×1,2205,000=2441,000×4505,000=901,000×2205,000=441,000
Country SK1,000×2,0005,000=4001,000×1,1005,000=2221,000×1,2205,000=2441,000×4505,000=901,000×2205,000=441,000
Total2,0001,1101,2204502205,000

From the expected cell counts table, it is observed that all the expected counts are greater than 5.

Test Statistic:

χ2=(observed countexpected count)expected count2

Software procedure:

Step-by-step procedure to obtain the test statistic and P-value using the MINITAB software:

  • Choose Stat > Tables > Cross Tabulation and Chi-Square.
  • Select Summarized data in two-way table.
  • In Columns containing the table, enter the columns of Never, Rarely, Sometimes, Often, and Not Sure.
  • Check Chi-square test under Chi-square.
  • Click OK.

Output using the MINITAB software is given below:

Introduction to Statistics and Data Analysis, Chapter 12, Problem 37CR

From the output, χ2=881.360 and df=16.

P-value:

From the MINITAB output, P-value is 0.000.

Decision rule:

  • If P-value is less than or equal to the level of significance, reject the null hypothesis.
  • Otherwise, fail to reject the null hypothesis.

Conclusion:

Here the level of significance is 0.01.

Here, P-value is less than the level of significance.

That is, 0.000<0.01.

Hence, reject the null hypothesis.

Therefore, there is convincing evidence that the response proportions are not the same for all the five countries at 0.01 significance level.

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Introduction to Statistics and Data Analysis

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