n order to set rates, an insurance company is trying to estimate the number of sick days that full time workers at an auto repair shop take per year. Assume σ = 6.8 days. How large a sample must be selected if the company wants to be 98% confident that the true mean differs from the sample mean by no more than 2 days?

Respuesta :

Answer:

The  large  sample must be selected if the company wants to be 98% confident that the true mean differs from the sample mean by no more than 2 days

n = 62.5427≅63

Step-by-step explanation:

Step1:-

Given maximum of error = M.E =  2 days

Given population standard deviation  σ = 6.8 days

98% confident level Z₀.₀₂ = 2.326

Step2:-

we know that the maximum of error

[tex]M.E = \frac{Z_{\alpha } S.D }{\sqrt{n} }[/tex]

cross multiplication , we get

[tex]\sqrt{n} = \frac{Z_{\alpha } S.D }{M.E }[/tex]

squaring on both sides, we get

[tex]n = (\frac{Z_{\alpha } S.D }{M.E })^2[/tex]

[tex]n = (\frac{2.326 X 6.8}{2} )^{2}[/tex]

on calculation , we get

n = 62.5427

Conclusion:-

The  large  sample must be selected if the company wants to be 98% confident that the true mean differs from the sample mean by no more than 2 days

n = 62.5427≅63