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Suppose a simple random sample of size nequals41 is obtained from a population with muequals66 and sigmaequals16.​(a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample​ mean? Assuming the normal model can be​ used, describe the sampling distribution x overbar.

Answer :

Answer:

n = 41

[tex]\mu = 66[/tex]

[tex]\sigma = 16[/tex]

According to the central limit theorem

Let [tex]z=\frac{\bar{x}-\mu}{\frac{\sigma}{\sqrt{n}}}[/tex] is a standard normal variable

(a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample​ mean?

Ans. The population must be normally distributed

b) Assuming the normal model can be​ used, describe the sampling distribution x over bar.

Approximately normal with [tex]\mu_{\bar{x}}=66[/tex]and [tex]\sigma_{\bar{x}}=\frac{16}{\sqrt{41}}[/tex]

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