Answer: (60.858, 69.142)
Step-by-step explanation:
The formula to find the confidence interval for mean :
[tex]\overline{x}\pm z_c\dfrac{\sigma}{\sqrt{n}}[/tex] , where [tex]\overline{x}[/tex] is the sample mean , [tex]\sigma[/tex] is the population standard deviation , n is the sample size and [tex]z_c[/tex] is the two-tailed test value for z.
Let x represents the time taken to mail products for all orders received at the office of this company.
As per given , we have
Confidence level : 95%
n= 62
sample mean : [tex]\overline{x}=65[/tex] hours
Population standard deviation : [tex]\sigma=18[/tex] hours
z-value for 93% confidence interval: [tex]z_c=1.8119[/tex] [using z-value table]
Now, 93% confidence the mean time taken to mail products for all orders received at the office of this company :-
[tex]65\pm (1.8119)\dfrac{18}{\sqrt{62}}\\\\ 65\pm4.142\\\\=(65-4.142,\ 65+4.142)\\\\= (60.858,\ 69.142) [/tex]
Thus , 93% confidence the mean time taken to mail products for all orders received at the office of this company : (60.858, 69.142)