Stats Flashcards
Confidence intervals equation
mean in interval [ (sample mean) - (z * s.d.)/root n , (sample mean) + (z * s.d.)/root n ]
Find z by doing inverse normal of z graph, area = confidence interval, tail = central
Poisson distribution equation + meaning
Expectation = variance = lambda
P(X=r) = (e^(-lambda) * lambda^(r))/r!
E(aX + bY) = aE(X) + bE(Y)
Var(aX + bY) = a^2 Var(X) + b^2 Var (Y)
Geometric Distribution equations + meaning
Repeat until first ‘success’
Probability of success = p
X~geo(p) P(X=1) = p P(X=2) = (1-p)*p P(X=3) = (1-p)^2 *p P(X=r) = (1-p)^(r-1) * p
E(X) = 1/p Var(X) = (1-p)/p^2
Exponential function
f(x) = lambda * e^(-lambda * x) E(X) = 1/lambda Var(X) = 1/lambda^2
Sequences and series
sum up to n of 1, r=1
= n
Sequences and series
sum up to n of r, r=1
= n/2 (n+1)
Sequences and series
sum up to n of r^2, r=1
= n/6 (n+1)(2n+1)
Sequences and series
sum up to n of r^3, r=1
= (n^2)/4 (n+1)^2