Respuesta :
Answer: D. The total sample size is too large to apply the chi-square test for homogeneity.
Step-by-step explanation: When sampling without replacement, the sample size should not exceed 10 percent of the population size. Here, the sample size of 85 is just over 24 percent of the population of 350 company employees.
The total sample size is too large to apply the chi-square test for homogeneity.
We have given that,
A manufacturing company with 350 employees is changing the employee health insurance plan to either plan A or plan B.
Plan A Plan B Total
yes(group 1) 40(32.5) 20(27.5) 60
No (group 2) 6 (13.5) (11.5) 25 25
Total 46 39 85
We have to find which statement is true,
What is sampling without replacement?
Each sample unit of the population has only one chance to be selected in the sample. we can select one sample only way and after selection we cannot pot this sample in the sample space again.
The sample size should not exceed 10 percent of the population size.when we use sampling without replacement,
Here, the sample size of 85 is just over 25 percent of the population of 350 company employees.
Therefore,the total sample size is too large to apply the chi-square test for homogeneity.
To learn more about the sample space replacement and without replacement visit:
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