In order to estimate the annual cost of full time-employees absences full time employees take per year. Based on previous studies, it's assumed s= 2.1 days.
a) How big a sample must be selected if the company wants to be 90% confident that their estimate is within 1 day of the true mean?
b) Repeat (a) using a 95% confidence interval.
c) Which level of confidence requires a larger sample size? Explain.
Solution :
Given that,
standard deviation = S = 6250
margin of error = E = 500
At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
Z/2 = Z0.05 = 1.645
Sample size = n = ((Z/2 * S) / E)2
= ((1.645 * 2.1) / 1)2
= 12
Sample size = 12
b) Given that,
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.960
Sample size = n = ((Z/2 * S) / E)2
= ((1.960 * 2.1) / 1)2
= 17
Sample size = 17
C ) Confidence level increased than sample size is larger
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