Also,
Standard deviation $\left(\sigma\right) =\sqrt{\frac{1}{n} \displaystyle\sum_{i=1}^{n}x_{i}^{2}-\frac{1}{n^{2}}\left(\displaystyle\sum_{i=1}^{n}x_{i}\right)^{2}}$
$ = \sqrt{\frac{1}{n}\sum\limits_{i=1}^{n} x_{i}^{2} - \left(\bar{x}\right)^{2}} $
i.e. $5.1 = \sqrt{\frac{1}{100}\times {\text{Incorrect}} \sum\limits _{i=1}^{n} x_{i}^{2} - \left(40\right)^{2}}$
or, $26.01 = \frac{1}{100} \times {\text{Incorrect}} \sum\limits _{i=1}^{n} x_{i}^{2} -1600$
Therefore,
Incorrect $\sum\limits _{i=1}^{n} x_{i}^{2} = 100\left(26.01+1600\right) = 162601$
Now, Correct $\sum\limits _{i=1}^{n} x_{i}^{2} =$ Incorrect $\sum\limits _{i=1}^{n} x_{i}^{2} -\left(50\right)^{2} +\left(40\right)^{2}$
$= 162601 -2500+1600 = 161701 $
Therefore correct standard deviation
$ = \sqrt{\frac{\text{Correct} \sum x_{i}^{2}}{n}-\left({\text{Correct mean}}\right)^{2}}$
$= \sqrt{\frac{161701}{100}-\left(39.9\right)^{2} } $
$ = \sqrt{1617.01 -1592.01} $
$= \sqrt{25}$
$ = 5$