The mean of a binomial variate $X \sim B(n, p)$ is 1 . If $n>2$ and $P(X=2)=\frac{27}{128}$, then the variance of the distribution is

The variance of the following continuous frequency distribution is

Classinterval	0-4	4-8	8-12	12-16
Frequency	2	3	2	1

The mean deviation about the mean for the following data is \begin{array}{c|l|l|l|l|l} \hline \text { Class interval } & 0-2 & 2-4 & 4-6 & 6-8 & 8-10 \\\\ \hline \text { Frequency } & 1 & 3 & 5 & 3 & 1 \\\\ \hline \end{array}

The mean and standard deviation of 100 observations were calculated as 40 and 5.1 respectively. Later on it was found that one of the observations was taken as 50 in the place of 40 . If the wrong entry is replaced by the correct one, then the sum of the squares of all the observations is