A discrete random variable x is defined to follow binomial distribution with parameters n and p to be denoted by
x ~ B(n, p)
If the probability of mass function of x is given by
Mean = np
Variance = npq
In binomial distribution, always np > npq
Standard deviation = √npq
Problem 1 :
X is a binomial variable such that
2 P(X = 2) = P(X = 3)
the mean of X is known to be 10/3. What would be the probability that X assumes at most the value of 2 ?
a) 16/81 b) 17/81 c) 47/243 d) 46/243
Solution :
2 P(X = 2) = P(X = 3)
The required binomial distribution is,
Problem 2 :
Find the probability of a success for the binomial distribution satisfying the following relation 4P(x = 4) = P(x = 2) having the parameter n as six.
Solution :
4P(x = 4) = P(x = 2)
Here n = 6
Problem 3 :
Find the binomial distribution for which mean and standard deviation as 6 and 2 respectively.
Solution :
Standard deviation = 6
√npq = 2
Mean = 6
np = 6 ----(1)
npq = 4 ----(2)
Applying the value of np in (2), we get
6q = 4
q = 4/6
q = 2/3
p = 1/3
Applying the value of p in (1), we get
6(1/3) = 6
n = 18
for x = 0, 1, 2, ............18
Problem 4 :
An experiment succeeds thrice as after it fails. If the experiment is repeated 5 times, what is the probability of having no success at all ?
Solution :
P be the probability of success and q be the probability of failure.
p = 3q
p = 3(1-p)
p = 3 - 3p
p+3p = 3
4p = 3
p = 3/4
q = 1/4
Here n = 5
Problem 5 :
What is the number of trials of a binomial distribution having mean and standard deviation as 3 and 1.5 respectively ?
a) 2 b) 4 c) 8 d) 12
Solution :
Mean = np = 3 -----(1)
standard deviation = √npq = 1.5
npq = 2.25-----(2)
Applying the value of np in (2)
3q = 2.25
q = 2.25/3
q = 0.75
p = 0.25
Applying the value of p in (1), we get
n(0.25) = 3
n = 3/0.25
n = 12
May 21, 24 08:51 PM
May 21, 24 08:51 AM
May 20, 24 10:45 PM