Here are Todays Amazing Women Men Deals
More Great Information on Women Men:
Jocelyn Goldfein, Facebook Engineer, Explains Why It Matters There Aren't More Girl Geeks (Huffington post)
Jocelyn Goldfein has a simple reason for wanting to increase the number of
female engineers: She’s tired of meetings where she’s surrounded entirely by
men.
"Personally, I care that there aren’t more women in tech because I love most
aspects of my job, and the one thing I don’t love is often being the only
woman in the room," said Goldfein, director of engineering at Facebook. "I
would just enjoy my job more if there were more women."
Goldfein has not only worked on some of Facebook’s best-known products, such
as Questions, Photos, and the revamped News Feed, but she also helps hire
people for the social networking site’s expanding army of engineers.
Read More...
More on Women In Tech
Huffington post
Women/Men height distribution using mean and standard deviation?
Suppose the heights of women aged 20 to 29 follow approximately the N(67.2, 3.6) distribution. Also suppose that men the same age have heights distributed as N(73.2, 3.7).
What percent (± 0.1) of young women are taller than average young men? ____%.
I am not looking for the answer, rather how to do it properly. Thanks!
The average for men is 73.2 so they're just asking Pr(Women > 73.2). We're told the distribution for women so just use whatever calculator functions or software is at your disposal.
You might need to standardize using the formula Z = (x - mean)/sd. This just rescales things to N(0,1).
Where 73.2 falls in a N(67.2, 3.6) distribution is equivalent to Z = (73.2 - 67.2)/3.6 = 1.666... in N(0,1)
Pr(W > 73.2) = Pr(Z > 1.666)
*TIP* Tables and software are usually set up to calculate left-hand probability, i.e. Pr(W < 73.2). Luckily we can use the complement to calculate the right-hand, Pr(W > 73.2) = 1 - Pr(W < 73.2)
Ans: 0.04779035 or 4.78%
