Answer:
(a) E (X) = 61 and SD (X) = 9
(b) E (Z) = 0 and SD (Z) = 1
Step-by-step explanation:
The time of the finishers in the New York City 10 km run are normally distributed with a mean,<em>μ</em> = 61 minutes and a standard deviation, <em>σ</em> = 9 minutes.
(a)
The random variable <em>X</em> is defined as the finishing time for the finishers.
Then the expected value of <em>X</em> is:
<em>E </em>(<em>X</em>) = 61 minutes
The variance of the random variable <em>X</em> is:
<em>V</em> (<em>X</em>) = (9 minutes)²
Then the standard deviation of the random variable <em>X</em> is:
<em>SD</em> (<em>X</em>) = 9 minutes
(b)
The random variable <em>Z</em> is the standardized form of the random variable <em>X</em>.
It is defined as:
Compute the expected value of <em>Z</em> as follows:
![E(Z)=E[\frac{X-\mu}{\sigma}]\\=\frac{E(X)-\mu}{\sigma}\\=\frac{61-61}{9}\\=0](https://tex.z-dn.net/?f=E%28Z%29%3DE%5B%5Cfrac%7BX-%5Cmu%7D%7B%5Csigma%7D%5D%5C%5C%3D%5Cfrac%7BE%28X%29-%5Cmu%7D%7B%5Csigma%7D%5C%5C%3D%5Cfrac%7B61-61%7D%7B9%7D%5C%5C%3D0)
The mean of <em>Z</em> is 0.
Compute the variance of <em>Z</em> as follows:
![V(Z)=V[\frac{X-\mu}{\sigma}]\\=\frac{V(X)+V(\mu)}{\sigma^{2}}\\=\frac{V(X)}{\sigma^{2}}\\=\frac{9^{2}}{9^{2}}\\=1](https://tex.z-dn.net/?f=V%28Z%29%3DV%5B%5Cfrac%7BX-%5Cmu%7D%7B%5Csigma%7D%5D%5C%5C%3D%5Cfrac%7BV%28X%29%2BV%28%5Cmu%29%7D%7B%5Csigma%5E%7B2%7D%7D%5C%5C%3D%5Cfrac%7BV%28X%29%7D%7B%5Csigma%5E%7B2%7D%7D%5C%5C%3D%5Cfrac%7B9%5E%7B2%7D%7D%7B9%5E%7B2%7D%7D%5C%5C%3D1)
The variance of <em>Z</em> is 1.
So the standard deviation is 1.