Official solution
standard deviation = \[\sqrt 5\]
\[ \therefore \] Variance = \[{\left( {\sqrt 5 } \right)^2}\] = 5
Also variance = \[{{\sum {x_i^2} } \over N} - {\mu ^2}\]
Where \[\mu \] = Mean = \[{{ - 1 + 0 + 1 + k} \over 4}\] = \[{k \over 4}\]
\[ \therefore \] Variance = \[{{{{\left( { - 1} \right)}^2} + 0 + {1^2} + {k^2}} \over 4}\] - \[{{{k^2}} \over {16}}\]
\[ \Rightarrow \] 5 = \[{{2 + {k^2}} \over 4}\] - \[{{{k^2}} \over {16}}\]
\[ \Rightarrow \] 8 + 3k2 = 80
\[ \Rightarrow \] k2 = 24 = 2\[\sqrt 6 \]