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Assume that​ women's heights are normally distributed with a mean given by mu equals 62.5 in​, and a standard deviation given by sigma equals 2.5 in. ​(a) If 1 woman is randomly​ selected, find the probability that her height is less than 63 in. ​(b) If 35 women are randomly​ selected, find the probability that they have a mean height less than 63 in. ​(​a) The probability is approximately nothing. ​(Round to four decimal places as​ needed.) ​(b) The probability is approximately nothing. ​(Round to four decimal places as​ needed.)

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Answer: a) The probability is approximately = 0.5793

b) The probability is approximately=0.8810

Explanation:

Given : Mean :
\mu= 62.5\text{ in}

Standard deviation :
\sigma = \text{2.5 in}

a) The formula for z -score :


z=(x-\mu)/((\sigma)/(√(n)))

Sample size = 1

For x= 63 in. ,


z=(63-62.5)/((2.5)/(√(1)))=0.2

The p-value =
P(z<0.2)=


0.5792597\approx0.5793

Thus, the probability is approximately = 0.5793

b) Sample size = 35

For x= 63 ,


z=(63-62.5)/((2.5)/(√(35)))\approx1.18

The p-value =
P(z<1.18)


= 0.8809999\approx0.8810

Thus , the probability is approximately=0.8810.

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