Solution Found!
The article "Inconsistent Health Perceptions for US Women
Chapter 6, Problem 3E(choose chapter or problem)
The article “Inconsistent Health Perceptions for US Women and Men with Diabetes” (M. McCollum, L. Hansen, et al., Journal of Women’s Health, 2007:1421–1428) presents results of a survey of adults with diabetes. Each respondent was categorized by gender and income level. The numbers in each category (calculated from percentages given in the article) are presented in the following table.
Can you conclude that the proportions in the various income categories differ between men and women?
Questions & Answers
QUESTION:
The article “Inconsistent Health Perceptions for US Women and Men with Diabetes” (M. McCollum, L. Hansen, et al., Journal of Women’s Health, 2007:1421–1428) presents results of a survey of adults with diabetes. Each respondent was categorized by gender and income level. The numbers in each category (calculated from percentages given in the article) are presented in the following table.
Can you conclude that the proportions in the various income categories differ between men and women?
ANSWER:
Problem 3E
The article “Inconsistent Health Perceptions for US Women and Men with Diabetes” (M. McCollum, L. Hansen, et al., Journal of Women’s Health, 2007:1421–1428) presents results of a survey of adults with diabetes. Each respondent was categorized by gender and income level. The numbers in each category (calculated from percentages given in the article) are presented in the following table
Can you conclude that the proportions in the various income categories differ between men and women?
Step by Step Solution
Step 1 of 2
Given table is
First, let us find the expected values .
Let be the sum of ith row and be the sum of jth column and
It is noted that
Then, by definition, the expected frequencies are
In the following table, the expected values for the given table are described.
Poor |
Near Poor |
Low Income |
Middle Income |
High Income |
|
Men |
222.0148 |
100.8758 |
302.1869 |
486.7587 |
491.1638 |
Women |
281.9852 |
128.1242 |
383.8131 |
618.2413 |
623.8362 |
Then, the chi square statistics is