Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
National Examinations, 04-BS-2 Probability and Statistics — May 2015. Closed book (approved calculator + one hand-written information sheet); statistical tables of the Normal, t, chi-square and F distributions supplied. The paper states that only 5 of the 8 questions constitute a complete paper — every question is solved in full as a study resource.
Reference texts: Walpole, Myers, Myers & Ye, Probability & Statistics for Engineers and Scientists (9th ed.) — sampling distributions, binomial/Poisson/hypergeometric models, confidence intervals, hypothesis testing, correlation and simple linear regression.
Given. Let $X=$ number of solar lights (out of $n$ sampled) lasting more than two years, with per-light success probability $p=0.70$.
Find. (a) $P(X>7)$ for $n=10$; (b) $P(5<X<9)$ for $n=12$; (c) $P(X<83)$ for $n=1{,}220$ via a Normal approximation; (d) $P(X<3)$ for $n=4$.
Approach. Parts (a), (b), (d) are exact Binomial$(n,p)$ tail sums; part (c) has $n$ too large for a direct Binomial table, so the Normal approximation to the Binomial (with continuity correction) is used instead.
(b) Binomial middle range, $n=12$. "More than five but fewer than nine" means $X=6,7,8$.
$$P(6\le X\le 8)=\sum_{x=6}^{8}\binom{12}{x}(0.7)^x(0.3)^{12-x}=\boxed{0.4689}$$
(c) Normal approximation with continuity correction, $n=1{,}220$. Check $np=854$ and $n(1-p)=366$ are both large, so the approximation is valid.
$$\mu=np=1220(0.7)=854, \qquad \sigma=\sqrt{np(1-p)}=\sqrt{1220(0.7)(0.3)}=16.006$$
"Fewer than 83" is $X<83$, corrected to $X<82.5$:
$$Z=\frac{82.5-854}{16.006}=-48.2$$
$$P(X<83)\approx P(Z<-48.2)\approx\boxed{0\ (\text{effectively impossible})}$$