relationship between bernoulli and binomial distribution
Free throw basketball: we have p=0.6 to make a shot successfully, 0.4 miss the shot.
Bernoulli: P(X=1)=0.6, P(X=0)=0.4
now we shoot the ball 5 times, so we have 5 random variable X1, X2, ,,,,,,X5
P(X1=Miss,X2=Success,X3=X4=Miss,X5=Success,X6=Miss)=p^2(1-p)^4
this is not binomial because we have the certain order, however, who can tell me the difference?
becasue everyone said Bernoulli only n=1, but here n=5 and it is still bernoulli and it isnot binomial becasue it doesn't have 5 choose 2
Yes you are right, i is not Binomial distribution.
Because Binomial distribution is sum of n independent Bernoulli trials. But given expression is the product of Bernoulli trials.
For Bernoulli distribution,
P(X=x) = px * (1-p)1-x ; x = 0,1
Now
P(X=miss) = P(X=0) = p0 * (1-p)1
P(X=success) = P(X=1) = p1 * (1-p)0
Therefore,
P(X1=Miss,X2=Success,X3=X4=Miss,X5=Success,X6=Miss) = {p0 * (1-p)1 } * { p1 * (1-p)0 } * { p0 * (1-p)1 } * { p0 * (1-p)1 } *
{p1 * (1-p)0} * { p0 * (1-p)1}
= p2 * (1-p)4
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