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The population mean and standard deviation are given below. Find the required probability and determine whether the given sam
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Answer #1

Let X be a random variable with  mean \mu=212 and standard deviation \sigma=5.9

Let \bar{X} be the sample mean of a randomly selected sample of size n=70 from the above population.

Since the sample size is greater than 30, using the central limit theorem, we can say that the distribution of  \bar{X} is normal distribution with mean \mu_{\bar{X}}=\mu=212 and standard deviation (also called standard error of mean) \sigma_{\bar{X}}=\frac{\sigma}{\sqrt{n}}=\frac{5.9}{\sqrt{70}}=0.7052

The probability of a sample mean being greater than 213 is

\begin{align*} P(\bar{X}>213 )&=P\left(\frac{\bar{X}-\mu_{\bar{X}}}{\sigma_{\bar{X}}}>\frac{213-\mu_{\bar{X}}}{\sigma_{\bar{X}}} \right )\quad\text{get the z score of 213}\\ &=P\left(Z>\frac{213-212}{0.7052} \right )\\ &=P(Z>1.42)\\ &=1-P(Z<1.42)\\ &=1-0.9222\quad\text{using the standard normal tables for z=1.42}\\ &=0.0778 \end{align*}

ans: For a sample of n=70, the probability of a sample mean being greater than 213 is 0.0778

We consider an event unusual if the corresponding value is within +-2 standard deviations of mean. Here, the z score of the sample mean 213 is 1.42 and hence 213 lies within 2 standard deviations from the mean. Hence we do not consider this an unusual event.

ans: The sample mean not to be considered unusual because it lies within the range of a usual event, namely within 2 standard deviations of the mean of the sample means.

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