The variance of the distribution is the sum of the product of the squared deviation and the corresponding probabilities. Hence, the variance of the distribution is 1.25
The variance of the distribution can be written as :
Var(X) = Σ[(squared deviation) × P(X)]
Var(X) = (6.25×0.05) + (2.25×0.15) + (0.25×0.25) + (0.25×0.35) + (2.25×0.25)
Var(X) = 0.3125 + 0.3375 + 0.0625 + 0.0875 + 0.45
Var(X) = 1.25
Therefore, the variance of the distribution is 1.25
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