In: Statistics and Probability
Sales personnel for Skillings Distributors submit weekly reports listing the customer contacts made during the week. A sample of 85 weekly reports showed a sample mean of 19.5 customer contacts per week. The sample standard deviation was 5.5. Provide 90% and 95% confidence intervals for the population mean number of weekly customer contacts for the sales personnel.
a. 90% confidence interval, to 2 decimals:
b. 95% confidence interval, to 2 decimals:
Given that,
= 19.5
s =5.5
n = 85
Degrees of freedom = df = n - 1 = 85- 1 = 84
At 90% confidence level the t is ,
= 1 - 90% = 1 - 0.90 = 0.1
/ 2 = 0.1 / 2 = 0.05
t /2,df = t0.05,84=1.663
Margin of error = E = t/2,df * (s /n)
= 1.663* ( 5.5/ 85) = 0.9921
The 90% confidence interval estimate of the population mean is,
- E < < + E
19.5- 0.9921< < 19.5+ 0.9921
18.5079 < < 20.4921
(18.5079 ,20.4921)
(B)Given that,
= 19.5
s =5.5
n = 85
Degrees of freedom = df = n - 1 = 85- 1 = 84
At 95% confidence level the t is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
t /2,df = t0.025,84=1.989
Margin of error = E = t/2,df * (s /n)
= 1.989* ( 5.5/ 85) = 1.1866
The 95% confidence interval estimate of the population mean is,
- E < < + E
19.5- 1.1866< < 19.5+ 1.1866
18.3134< < 20.6866
(18.3134 , 20.6866)