The employee benefits manager of a large public university would like to estimate the proportion of full-time employees who prefer adopting the first (plan A) of three available health care plans in the next annual enrollment period. A random sample of the university’s employees and their tentative health care preferences are given in the file Healthcare. xlsx below. Calculate a 88% confidence interval for the proportion of all the university’s employees who favor plan A. What are the values of lower limit and upper limit? Round your answer to 3 decimal places. Healthcare. xlsxPreview the document Group of answer choices (0.217, 0.330) (0.211, 0.323) (0.242, 0.358) (0.180, 0.287)

The 88% confidence interval for the population proportion of full-time employees who favor plan A is (0.208, 0.344).

Step-by-step explanation:

The question is incomplete: it lacks the sample data.

We will work with a sample size n=105 and a count of X=29 that prefer adopting the plan A.

We have to calculate a 88% confidence interval for the proportion.

The sample proportion is p=0.276.

The standard error of the proportion is:

The critical z-value for a 88% confidence interval is z=1.555.

The margin of error (MOE) can be calculated as:

Then, the lower and upper bounds of the confidence interval are:

The 88% confidence interval for the population proportion is (0.208, 0.344).

from the figure we get,

the x axis shows   the months and,

the y-axis shows the number of satisfied customer.

each line or each cell in upward direction (y-axis) shows 500.

the appropriate scale for the y - axis is: -

a = 2000 customers

b = 4000 customers

c = 6000 customers

d = 8000 customers

e = 10000 customers

f = 12000 customers

g = 14000 customers

mxb67

step-by-step explanation: