Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
National Examinations, December 2017 — 04-BS-2 Probability and Statistics, 2 hours, closed book except one hand-written information sheet and an approved calculator. Eight questions of equal value; the exam instructs "any 5 questions constitute a complete paper," but all 8 are answered here as a full study resource.
Reference texts: Walpole, Myers, Myers & Ye, Probability & Statistics for Engineers and Scientists (9th ed.) — used throughout for distribution theory, estimation, and hypothesis-testing procedures.
Given. $f(y)=K(y^3-9y^2+18y)$ on $0\le y\le 3$, zero elsewhere.
Find. (a) K and the graph of f(y). (b) E(Y). (c) Var(Y). (d) F(y) and its graph.
Approach. Use $\int f(y)\,dy=1$ to solve for K, then the standard moment integrals $E(Y)=\int y f(y)\,dy$, $E(Y^2)=\int y^2 f(y)\,dy$, and $F(y)=\int_0^y f(u)\,du$.
(a) Solve for K.
$$\int_0^3 (y^3-9y^2+18y)\,dy = \left[\frac{y^4}{4}-3y^3+9y^2\right]_0^3 = \frac{81}{4}-81+81 = \frac{81}{4}.$$
Setting $K\cdot\frac{81}{4}=1$ gives
$$K = \frac{4}{81} = \boxed{0.04938}.$$
The graph (below) shows a single hump rising from $f(0)=0$ to a peak near $y\approx 1$, then falling back to $f(3)=0$.
(c) Find Var(Y). First $E(Y^2)=K\int_0^3(y^5-9y^4+18y^3)\,dy = K\left[\frac{y^6}{6}-\frac{9y^5}{5}+\frac{18y^4}{4}\right]_0^3 = K(48.6)=2.40$. Then
$$\text{Var}(Y) = E(Y^2)-[E(Y)]^2 = 2.40-(1.40)^2 = \boxed{0.44}.$$
(d) Find F(y). Integrating $f$ from 0 to $y$ (for $0\le y\le 3$):
$$F(y) = K\left[\frac{y^4}{4}-3y^3+9y^2\right] = \frac{4}{81}\left(\frac{y^4}{4}-3y^3+9y^2\right), \qquad F(y)=0\ (y<0),\ F(y)=1\ (y>3).$$
Check: $F(0)=0$, $F(3)=\boxed{1.000}$ — the graph rises monotonically from 0 to 1 with the steepest slope where $f(y)$ peaks (near $y=1$).
Probability density function f(y), a cubic hump on [0, 3].
Cumulative distribution function F(y), rising monotonically from 0 to 1.