Distributions Flashcards
Discrete uniform distribution mean
(n-1) / 2
Discrete uniform distribution variance
(n^2 - 1 ) / 12
Binomial distribution formula, P(X=R) =
nCr p^r (1-p)^(n-r)
When to use binomial formula?
Fixed number of trials
Fixed probability of success
Independent trials
Two outcomes, success/failure
Point of inflection on a normal distribution
Mean +- standard deviation
Percentages within standard deviations, normal distribution
68% within 1
95% within 2
99.7% within 3
Z value and coding
Z varies N(0, 1^2)
Coding, Z = (y - mean)/s.d
Approximating binomial as normal
If n is large and p is approx 0.5, u = np, s.d = root(npq)
If approximating binomial as normal, use
e.g P(3<X<=11) =
Continuity correction, as changing from discrete to continuous.
P(3.5 < Y < 11.5)