A life insurance actuary estimates the probabilities of , a person's life expectancy, with the probability density function as described above.
According to this model, what is
This section requires Javascript.
You are seeing this because something didn't load right. We suggest you, (a) try
refreshing the page, (b) enabling javascript if it is disabled on your browser and,
finally, (c)
loading the
non-javascript version of this page
. We're sorry about the hassle.
Expected Value of the pdf:
E [ X ] = ∫ 0 1 2 0 x f ( x ) d x = ∫ 0 1 2 0 1 4 4 0 0 π x 2 sin ( 1 2 0 π x ) d x
Using integration by parts , this is:
E [ X ] = − 1 2 0 1 x 2 cos ( 1 2 0 π x ) + π 2 x sin ( 1 2 0 π x ) + π 2 2 4 0 cos ( 1 2 0 π x ) ∣ ∣ ∣ ∣ 0 1 2 0
This evaluates to:
E [ X ] = 1 2 0 − π 2 4 8 0 ≈ 7 1 . 3 6 6
Thus, ⌊ E [ X ] ⌋ = 7 1 .