In analyzing the consumption of cottage cheese by members of various occupational groups, the United Dairy Industry Association found that 326 of 837 professionals seldom or never ate cottage cheese, versus 220 of 489 white-collar workers and 522 of 1243 blue-collar workers (Sheet 53). Assuming independent samples, use the 0.03 level in testing the null hypothesis that the population proportions could be the same for the three occupational groups. Sheet 53 Group 1Group 2Group 3Totalseldom or never3262205221068often5112697211501Total83748912432569 Select one:a) chi-square stat = 4.81, crit. value = 7.01, fail to reject H0, population proportions are not differentb) p-value = 0.09, reject H0, population proportions are not differentc) chi-square stat = 4.81, crit. value = 9.2, fail to reject H0, population proportions are not differentd) p-value = 0.029, reject H0, population proportions different

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Description: In analyzing the consumption of cottage cheese by members of various occupational groups, the United Dairy Industry Association found that 326 of 837 professionals seldom or never ate cottage cheese, versus 220 of 489 white-collar workers and 522 of

Group 1 Group 2 Group 3 Total seldom or never 326 220 522 1068 often 511 269 721 1501 Total…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In analyzing the consumption of cottage cheese by members of various occupational groups, the United Dairy Industry Association found that 326 of 837 professionals seldom or never ate cottage cheese, versus 220 of 489 white-collar workers and 522 of 1243 blue-collar workers (Sheet 53). Assuming independent samples, use the 0.03 level in testing the null hypothesis that the population proportions could be the same for the three occupational groups.

Sheet 53

	Group 1	Group 2	Group 3	Total
seldom or never	326	220	522	1068
often	511	269	721	1501
Total	837	489	1243	2569

Select one:

a) chi-square stat = 4.81, crit. value = 7.01, fail to reject H0, population proportions are not different

b) p-value = 0.09, reject H0, population proportions are not different

c) chi-square stat = 4.81, crit. value = 9.2, fail to reject H0, population proportions are not different

d) p-value = 0.029, reject H0, population proportions different

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