In: Statistics and Probability
Sales personnel for Skillings Distributors submit weekly reports listing the customer contacts made during the week. A sample of 68 weekly reports showed a sample mean of 17.5 customer contacts per week. The sample standard deviation was 5.2.
Provide a 90% confidence interval for the population mean number of weekly customer contacts for the sales personnel. (Round your answers to two decimal places.)
contacts/week to contacts/week
Provide 95% confidence interval for the population mean number of weekly customer contacts for the sales personnel. (Round your answers to two decimal places.)
contacts/week to contacts/week
Solution :
Given that,
Point estimate = sample mean = = 17.5
sample standard deviation = s = 5.2
sample size = n = 68
Degrees of freedom = df = n - 1 = 68-1 = 67
At 90% confidence level
= 1-0.90% =1-0.9 =0.10
/2
=0.10/ 2= 0.05
t/2,df
= t0.05,67 = 1.67
t /2,df = 1.67
Margin of error = E = t/2,df * (s /n)
= 1.67 * (5.2 / 68)
Margin of error = E = 1.052
The 90% confidence interval estimate of the population mean is,
- E < < + E
17.5-1.052 < < 17.5+ 1.052
16.45 < < 18.55
(16.45 , 18.55)
Answer =16.45 and 18.55
At 95% confidence level
= 1-0.95% =1-0.95 =0.05
/2
=0.05/ 2= 0.025
t/2,df
= t0.025,67 = 2.00
t /2,df = 2.00
Margin of error = E = t/2,df * (s /n)
= 2.00 * (5.2 / 68)
Margin of error = E = 1.259
The 95% confidence interval estimate of the population mean is,
- E < < + E
17.5-1.259 < < 17.5+ 1.259
16.24 < < 18.76
(16.24, 18.76)
Answer = 16.24 and 18.76