In: Math
Sales personnel for Skillings Distributors submit weekly reports listing the customer contacts made during the week. A sample of 65 weekly reports showed a sample mean of 17.5 customer contacts per week. The sample standard deviation was 5.4. Provide 90% and 95% confidence intervals for the population mean number of weekly customer contacts for the sales personnel.
90% confidence interval, to 2 decimals:
( , )
95% confidence interval, to 2 decimals:
( , )
Solution :
Given that,
a.
sample size = n = 65
Degrees of freedom = df = n - 1 = 65 - 1 = 64
t
/2,df = 1.669
Margin of error = E = t/2,df
* (s /
n)
= 1.669 * (5.4 /
65)
= 1.12
The 90% confidence interval estimate of the population mean is,
- E <
<
+ E
17.5 - 1.12 <
< 17.5 + 1.12
16.38 <
< 18.62
The 90% confidence interval: (16.38 , 18.62
b.
sample size = n = 65
Degrees of freedom = df = n - 1 = 65 - 1 = 64
t
/2,df = 1.998
Margin of error = E = t/2,df
* (s /
n)
= 1.998 * (5.4 /
65)
= 1.34
The 95% confidence interval estimate of the population mean is,
- E <
<
+ E
17.5 - 1.34 <
< 17.5 + 1.34
16.16 <
< 18.84
The 95% confidence interval: (16.16 , 18.84)