Answer: (751.05, 766.95)
Step-by-step explanation:
We know that the confidence interval for population mean is given by :-
[tex]\overline{x}\pm z*\dfrac{\sigma}{\sqrt{n}}[/tex],
where [tex]\sigma[/tex] =population standard deviation.
[tex]\overline{x}[/tex]= sample mean
n= sample size
z* = Two-tailed critical z-value.
Given : [tex]\sigma= 20[/tex]
n= 42
[tex]\overline{x}=759[/tex]
We know that from z-table , the two-tailed critical value for 99% confidence interval : z* =2.576
Now, the 99% confidence interval around the true population mean viscosity :-
[tex]759\pm (2.5760)\dfrac{20}{\sqrt{42}}\\\\=759\pm (2.5760)(3.086067)\\\\=759\pm7.9497=(759-7.9497,\ 759+7.9497)\]\\=(751.0503,\ 766.9497)\approx(751.05,\ 766.95)[/tex]
∴ A 99% confidence interval around the true population mean viscosity : (751.05, 766.95)