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;
19 Cards in this Set
- Front
- Back
- 3rd side (hint)
|
Independent Events |
P(A n B) = P(A)*P(B) Dependent events if not equal. |
|
|
|
Mutually Exclusive |
P(A n B) = 0 |
Nothing in common |
|
|
Parallel circuit |
P(A u B) |
|
|
|
Series circuit |
P(A n B) |
|
|
|
Binomial pdf binopdf(x,n,p) = ? |
P(x=[]) X=0,1,2,...,n Probability at x |
|
|
|
Binomial cdf binocdf(x,n,p) = ? |
P(x <= []) X=0,1,2,...,n Adds up the probabilities To the left of x, including at x |
|
|
|
Two ways to find P(L <= x <= U) |
binocdf(U,n,p) - binocdf(L-1,n,p) Or sum(binopdf(L:U,n,p)) **best** |
|
|
|
f(x) represents a _______ _______ |
Continuous pdf |
|
|
|
F(x) represents the _____ How are f(x) and F(x) related? |
Cdf F(x) is the integral of f(x) |
|
|
|
If told.... P(X > x) = .7 How would you solve for x? |
F(x) = .3 .3 because it wants area to the right, P(X>x) |
|
|
|
P(A u B) |
P(A) + P(B) - P(A n B) |
|
|
|
Z = (matlab function) |
norminv(area to the left) = z |
|
|
|
Central Limit Theorem |
Case 1: If population is normal, sample is normal Case 2: If population is uniform or exponential, sample (n>=30) is normal mu=mu sigma=sigma/sqrt(n) |
|
|
|
Population def |
Entire group of individuals of interest. |
|
|
|
Sample def |
Subset of a population. |
|
|
|
Parameter def |
Numerical measurement that is taken from a Population Parameter — Population |
|
|
|
Statistic def |
Numerical measurement that is taken from a Sample. Statistic — Sample |
|
|
|
PDF def |
A function that describes how probabilities are distributed over the values of a random variable. |
|
|
|
Sampling distribution def |
Probability distribution of a statistic obtained through a large number of samples |
|
