To solve the problem, we begin by recalling the basic formula for the probability of exactly \(k\) successes in a binomial distribution, which is:
\(P(X=k) = \binom{n}{k} p^k (1-p)^{n-k}\)
Given \(n=4\), \(P(X=0)=\frac{16}{81}\), we use the formula:
\(P(X=0) = \binom{4}{0} p^0 (1-p)^4 = (1-p)^4 = \frac{16}{81}\)
Taking the fourth root from both sides to solve for \((1-p)\):
\(1-p = \sqrt[4]{\frac{16}{81}} = \frac{2}{3}\)
Thus, \(p = 1-\frac{2}{3} = \frac{1}{3}\)
We need to find \(P(X=4)\):
\(P(X=4) = \binom{4}{4} p^4 (1-p)^0 = p^4 = \left(\frac{1}{3}\right)^4 = \frac{1}{81}\)
Therefore, the probability \(P(X=4)\) is \(\frac{1}{81}\).
LIST I | LIST II | ||
A. | In a binomial distribution, if n=10, q=0.25, then its mean is | I. | 12 |
B. | If the mean of a binomial distribution is 6 and its variance is 3, then p is | II. | 7.5 |
C. | In a binomial distribution, the probability of getting a success is 1/4 and the standard distribution is 3, then its mean is | III. | 16 |
D. | If the mean and variance of a binomial distribution are 4 and 3 respectively, then the number of trials is | IV. | ½ |
What comes next in the series?
\(2, 6, 12, 20, 30, \ ?\)