In: Statistics and Probability
p = P(Getting a 4 in single throw) = 1/6
n = Number of times die are rolled = 90
Let the random variable X is defined as
X : Number of times getting 4 in 90 rolls.
So random variable X takes values 0,1,2,.........,90.
Since p is constant for each roll and each throw are independent to each other.
Hence probability distribution of X is binomial with parameters n = 90 and p = 1/6
X ~ Bin ( n=90, p = 1/6)
E(X) = n* p*= 90 * (1/6) = 15
var(X) = n*p * (1-p) = 90 * (1/6) * ( 5/6) =12.5
SD(X)= sqrt(12.5) =3.5355.
P ( at least twenty-five 4's in 90 rolls) = P ( X> =25)
Since n is large , we use normal approximation to binomial distribution .
By continuity correction
= P ( Z> 2.6870)
From normal probability table
P( Z> 2.6870) =0.0036
P ( at least twenty-five 4's in 90 rolls) = 0.0036.