empirical probability
comes from the long-run relative frequency of the event’s occurrence
theoretical probability
comes from a model
personal probability
subjective and represents personal degree of belief
law of large numbers
as the number of trials increases, the probability gets closer to a single number
law of averages
untrue belief that if an outcome hasn’t occurred for a while, it should occur soon
addition rule (must be disjoint)
P(A ∪ B)
multiplication rule (must be independent)
P(A ∩ B)
multiplication rule
P(A) × P(B|A)
addition rule
P(A) + P(B) - P(A ∩ B)
independence
P(B|A) = P(B)
mean
μ
variance
σ²
standard deviation
σ
E(X ± c)
E(X) ± c
var(X ± c)
var(X)
SD(X ± c)
SD(X)
E(aX)
a × E(X)
var(aX)
a² × var(X)
SD(aX)
√var(aX)
E(X ± Y)
E(X) ± E(Y)
var(X ± Y)
var(X) + var(Y)
SD(X ± Y)
√var(X + Y)