Quote (irimi @ Nov 1 2011 11:43am)
plug in the values for the mean (0) and variance (1) into the formula for a normal distribution
and you get this:
f(x) = 1/root(2pi) * e^(-x^2/2)
this gives you a nice, normal curve that looks like the red one in this nice wikipedia page:
http://en.wikipedia.org/wiki/File:Normal_Distribution_PDF.svgP(0 < z < a) is essentially equal to the area under the curve between 0 and a (fun fact: the area from negative infinity to infinity under any probability distribution curve is always 1)
so take the integral of f(x) between 0 and a, and set that to equal 0.4608
solve for a
(I cba to do the actual calculus and plugging in. If you can't do integrals, you should probably drop your class while you're behind.)
lol, i cant tell if your trolling or just being a bit of a git.. there's no way he'd be able to do integrate a normal distribution, if he is asking for help with this ( it requires squaring the integral and then using a polar coordinate subsitution )
Basically, do you have probability tables?
The probability your looking for is P(z<a) - P(z<0)
We know Probability z< 0 = 0.5 ( as the distriubtion is symetric around 0 and the total area under the curve = 1, so half of 1 is 1/2 )
now we have 0.4608 = P(z<a) - 0.5
0.9608 = P(z<a)
only way to do this is to look up " 0.9608" in your tables, and see which value it corresponds to.
Or if you are using computer software, its the qnorm(0.9608)
1.760046 should be the answer for a then