Landon W. answered 06/17/21
I'm that nerd that can't say no to helping someone out
The mean of the distribution, E(X) is the weighted average of size with respect to probability.
E(X) = ∑i=1,n xiwi
E(X) = 1 * .25 + 2 * .2 + 3 * .1 + 4 * .05 + 5 * .4 = 3.15
Then to calculate the standard deviation we need to calculate the (deep breath) square root of the average of the squared deviations from the mean.
σ = √( ∑i=1, n wi * (xi-E(X))2) )
(Many computations later) σ = 1.68
Then we see which sizes fit inside a range from E(X) - σ to E(X) + σ, or (3.15 - 1.68, 3.15 + 1.68).
Range: (1.47, 4.8)
Inside this range we have the sizes 2, 3, and 4.
When we sum the probabilities of these sizes together, we get 0.35 or 35% of claims which are less than 1 standard deviation away from the mean.
I hope this helps!