In a binomial distribution the probability of getting a success is 1/4 and standard deviation is 3 , then its mean is
Answers
Answered by
10
Answer:
12
Step-by-step explanation:
Let n be successive independent trials and p the probability of getting a success.
The the mean and variance of a binomial distribution is given by :
Mean = np
Variance = np(1 - p)
In this case we have :
p = 1/4
Variance = (standard deviation) ²
Variance = 3² = 9
From this we can get the value of n as follows :
Variance = np(1 - p)
Doing the substitution we have
9 = 1/4n( 1 - 1/4)
9 = 1/4n(3/4)
9 = 3/16n
n = 16/3 × 9
n = 48
Mean = np
Mean = 48 × 1/4 = 12
The mean of the binomial distribution is equal to 12.
Answered by
0
Answer:
12take given sucess as p=1/4
and q =1-p
=1-1/4
=3/4
variance (3²)=9
npq=9
n(1/4)(3/4)=9
n=48
so, mean = np
48(1/4) = 12
so the and mean = 12
tq if it's useful mark me as brainliest
tq
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