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 2.2 in.​(a) If 1 woman is randomly​ selected, find the probability that her height is less than 63in.​(b) If 37women are randomly​ selected, find the probability that they have a mean height less than 63in.​(​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) 0.5899

(b) 0.9166

Step-by-step explanation:

Let X be the random variable that represents the height of a woman. Then, X is normally distributed with  

[tex]\mu[/tex] = 62.5 in

[tex]\sigma[/tex] = 2.2 in

the normal probability density function is given by  

[tex]f(x) = \frac{1}{\sqrt{2\pi}2.2}\exp{-\frac{(x-62.5)^{2}}{2(2.2)^{2}}}[/tex], then

(a) [tex]P(X < 63) = \int\limits_{-\infty}^{63}f(x) dx[/tex] = 0.5899

   (in the R statistical programming language) pnorm(63, mean = 62.5, sd = 2.2)

(b) We are seeking [tex]P(\bar{X} < 63)[/tex] where n = 37. [tex]\bar{X}[/tex] is normally distributed with mean 62.5 in and standard deviation [tex]2.2/\sqrt{37}[/tex]. So, the probability density function is given by

[tex]g(x) = \frac{1}{\sqrt{2\pi}\frac{2.2}{\sqrt{37}}}\exp{-\frac{(x-62.5)^{2}}{2(2.2/\sqrt{37})^{2}}}[/tex], and

[tex]P(\bar{X} < 63) = \int\limits_{-\infty}^{63}g(x)dx[/tex] = 0.9166

(in the R statistical programming language) pnorm(63, mean = 62.5, sd = 2.2/sqrt(37))

You can use a table from a book to find the probabilities or a programming language like the R statistical programming language.

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