The binomial distribution for which the mean is 5 and variance 4, is |
$P(X = r) = {^{25}C}_r\left(\frac{4}{5}\right)^r\left(\frac{1}{5}\right)^{25-r},\,\,r = 0,1,2,3,...,25$ $P(X = r) = {^{25}C}_r\left(\frac{1}{5}\right)^r\left(\frac{4}{5}\right)^{25-r},\,\,r = 0,1,2,3,...,25$ $P(X = r) = {^{25}C}_r\left(\frac{1}{5}\right)^{25}\left(\frac{4}{5}\right)^{25-r},\,\,r = 0,1,2,3,...,25$ $P(X = r) = {^{25}C}_r\left(\frac{1}{5}\right)^{25-r}\left(\frac{4}{5}\right)^{25},\,\,r = 0,1,2,3,...,25$ |
$P(X = r) = {^{25}C}_r\left(\frac{1}{5}\right)^r\left(\frac{4}{5}\right)^{25-r},\,\,r = 0,1,2,3,...,25$ |
The correct answer is Option (2) → $P(X = r) = {^{25}C}_r\left(\frac{1}{5}\right)^r\left(\frac{4}{5}\right)^{25-r},\,\,r = 0,1,2,3,...,25$ ** For a binomial distribution: Mean $=np=5$ Variance $=npq=4$ So, $\frac{npq}{np}=q=\frac{4}{5}$ and $p=\frac{1}{5}$. From $np=5$: $n\left(\frac{1}{5}\right)=5 \Rightarrow n=25$ Thus the binomial distribution is: $P(X=r)=\frac{25!}{r!(25-r)!}\left(\frac{1}{5}\right)^{r}\left(\frac{4}{5}\right)^{25-r}$ Correct answer: $P(X=r)=\;{}^{25}C_{r}\left(\frac{1}{5}\right)^{r}\left(\frac{4}{5}\right)^{25-r}$ |