In: Statistics and Probability
Sales personnel for Skillings Distributors submit weekly reports listing the customer contacts made during the week. A sample of 75 weekly reports showed a sample mean of 17.5 customer contacts per week. The sample standard deviation was 5.1. Provide 90% and 95 percent confidence intervals for the population mean number of weekly customer contacts for the sales personnel.
Solution :
Given that,
Point estimate = sample mean = = 17.5
sample standard deviation = s = 5.1
sample size = n = 75
Degrees of freedom = df = n - 1 = 75 - 1 = 74
a) At 90% confidence level
= 1 - 90%
= 1 - 0.90 =0.10
/2
= 0.05
Z2
= Z0.05 = 1.645
t/2,df
= 1.666
Margin of error = E = t/2,df * (s / n)
= 1.666* ( 5.1/ 75)
Margin of error = E = 0.98
The 90% confidence interval estimate of the population mean is,
± E
17.5 ± 0.98
(16.52 , 18.48)
b) At 95% confidence level
= 1 - 95%
= 1 - 0.95 =0.05
/2
= 0.025
t/2,df
= 1.993
Margin of error = E = t/2,df * (s / n)
= 1.993* ( 5.1/ 75)
Margin of error = E = 0.17
The 95% confidence interval estimate of the population mean is,
± E
17.5 ± 0.17
(17.33 , 17.67)