The binomial distribution Flashcards
random variable
a variable whose value is a numerical outcome of a random phenomenon. Usually a capital letter such as X
discrete random variable
X, takes a finite number of values, denoted by x1…xk
A probability model of X is given by assigning probabilities Pi to these outcomes, P(X=xi) = pi
the probability should add to
1
number of ways of choosing r from n things
(n,r) = nCr = n!/r!(n-1)!
binomial requirements
- fixed number of n observations
- n observations are all independent
- two categories of observations: success of failure
- the probability of success, p, is the same for each observation
binomial distribution
the distribution of the count X of the successes in the binomial setting is called the binomial distribution and has parameters n and p
binomial equation
P(X=r) = (nr)p^r(1-p)^n-r where r = 0, 1…n
P(X=r) can be written X~B(n,p)
non-binomial settings
- not constant
- not independent
cdf
most number of successes
exact number of successes