(i) We know that:
(ii) Now, the distribution becomes
E(X2) = 1 x ½ + 4 x 1/5 + 16 x 3/25 + 36 x 1/10 + 81 x 1/25 + 225 x 1/25
= ½ + 4/5 + 48/25 + 36/10 + 81/25 + 225/25
= 0.5 + 0.8 + 1.92 + 3.6 + 3.24 + 9 = 19.06
Variance (X) = E(X2) – [E(X)]2
= 19.06 – (2.94)2 = 19.06 – 8.64 = 10.42