it does not let me install the page i am so sorry I would help you but this thing is to old sorry again :(
Answer:
No, because the Central Limit Theorem posits that regardless of the shape of the underlying population, the sampling distribution of bar x becomes approximately normal as the sample size (n) increases.
The sampling distribution of x is;
![\mu_{\overline x} = \mu = 53](https://tex.z-dn.net/?f=%5Cmu_%7B%5Coverline%20x%7D%20%3D%20%5Cmu%20%3D%2053)
Step-by-step explanation:
Given that:
The sample size n = 53
The population mean μ = 53
The standard deviation σ = 7
The sampling distribution of x is;
![\mu_{\overline x} = \mu = 53](https://tex.z-dn.net/?f=%5Cmu_%7B%5Coverline%20x%7D%20%3D%20%5Cmu%20%3D%2053)
Sampling distribution of the standard deviation is:
![\sigma _x =\dfrac{\sigma}{\sqrt{n}}](https://tex.z-dn.net/?f=%5Csigma%20_x%20%3D%5Cdfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D)
![\sigma _x =\dfrac{7}{\sqrt{53}}](https://tex.z-dn.net/?f=%5Csigma%20_x%20%3D%5Cdfrac%7B7%7D%7B%5Csqrt%7B53%7D%7D)
![\sigma _x =\dfrac{7}{7.28}](https://tex.z-dn.net/?f=%5Csigma%20_x%20%3D%5Cdfrac%7B7%7D%7B7.28%7D)
![\sigma _x =0.96](https://tex.z-dn.net/?f=%5Csigma%20_x%20%3D0.96)
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