Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
11 Cards in this Set
- Front
- Back
|
Probability Mass function |
f(x) is the pdf for a discrete random variable X having possible values of x. f(x) = Pr(X=x) = Sum(f(x1) = 1 |
|
|
Variance of Random variable |
Sigma = (Pr(X=X) - mean)^2 |
|
|
Binomial Distribution: Only 2 outcomes |
Pr(X=x) = (n p)p^x(1-p)^n-x |
|
|
Binomial expected Value |
mean = n*p variance = n*p*(1-p) |
|
|
Continous Random variable |
continous interval e.g. height of individuals |
|
|
Probability distribution function |
f(x)>=0, where the bounds are +infinity and -infinity |
|
|
Mean of continous random distribution |
xf(x)dx; within the bounds of(+/-) infinity |
|
|
Variance of continous random variable |
x^2f(x)dx |
|
|
Normal distribution |
f(x) = (1/sigma*pi^1/2)*e[-(u-mean)/2sigma^2) |
|
|
Standard Normal Distribution |
X~N(mean, variance), where mean =0 and variance = 1 |
|
|
Sampling distribution of Xbar |
using sigma/n |
