In: Statistics and Probability
A local electronics firm wants to determine their average daily sales (in dollars.) A sample of the sales for 36 days revealed an average sales of $141,000. Assume that the standard deviation of the population is known to be $12,000. Then, the 95% margin of error will be . . .
Provide a 95% confidence interval estimate for the true average daily sales.
| 
 $137,080 to $144,920  | 
|
| 
 $139,500 to $143,000  | 
|
| 
 $132,800 to 139,200  | 
|
| 
 $136,200 to $142,200  | 
|
| 
 $140,600 to $143,200  | 
|
| 
 $135,600 to $143,400  | 
|
| 
 $140,160 to $141,840  | 
Solution :
Given that,
 = 141000
 = 12000
n = 36
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z
/2
= Z0.025 = 1.96
Margin of error = E = Z
/2* (
 /n)
= 1.96 * (12000 / 36)
= 3920
At 99% confidence interval estimate of the population mean is,
 - E < 
 < 
 + E
141000-3920< 
 < 141000+3920
137080< 
 < 144920
($137,080 to $144,920)
correct option (a)$137,080 to $144,920