chapter 17 - probability Flashcards
sample space
set of all possible outcomes
event
subset of a sample space
complementary probability - P(A’)
1-P(A)
mutually exclusive - P(AUB)
can’t happen at the same time
P(A) + P(B)
independence - P(A∩B)
do not effect each other
P(A) * P(B)
P(A U B ) = P(A) + P(B) - P(A∩B)
mutually exclusive and independent
t
mutually exclusive events can’t be independent
ΣP(X=x) =
1
X ~B (n,p)
r.V. X = no. successes
n = no. trials
p = prob of success
set notation for binomial distribution
X ~B (n,p)
q = 1-p = no. failures
P(X = r)
nCr p^r q^n-r
ΣP(X = r) =
1
the required properties for binomial distribution
- has 2 mutually exclusive outcomes (success or failure)
- has a fixed number of INDEPENDANT trials = n
- prob of success at each trial is constant = p
on calc do P(x>=1)
do 1 - P(x=0)
nCr =
n! / r! (n-r)!
probability of A when all outcomes are equally likely
n(A) / n(sample space)