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.