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. Two independent samples of bulb lifetimes: A ($n_A=11$, $\bar{x}_A=11{,}860$, $s_A=370$) and B ($n_B=10$, $\bar{x}_B=11{,}980$, $s_B=250$).
Find. (a) Test $H_0:\sigma_A=\sigma_B$. (b) Test $H_0:\mu_A=\mu_B$, using the F-test result from (a) to choose the correct t-procedure.
Approach. Compare the two variances with an F-test first (assuming both populations are Normal, independent samples) — the outcome decides whether the means are compared with a pooled-variance or a Welch (unequal-variance) t-test.
(a) F-test for equal variances. Put the larger sample variance on top:
$$F = \frac{s_A^2}{s_B^2} = \frac{370^2}{250^2} = \frac{136{,}900}{62{,}500} = 2.190.$$
Critical value $F_{0.025,10,9}=3.964$ (df$_A$=10 numerator, df$_B$=9 denominator). Since $2.190 < 3.964$, we fail to reject H₀ — the two population variances are not significantly different, so a pooled-variance t-test is the right procedure for part (b).
(b) Pooled t-test for equal means. Pooled variance:
$$s_p^2 = \frac{(n_A-1)s_A^2+(n_B-1)s_B^2}{n_A+n_B-2} = \frac{10(370^2)+9(250^2)}{19} = 101{,}657.9, \qquad s_p = 318.8.$$
$$t = \frac{\bar{x}_A-\bar{x}_B}{s_p\sqrt{1/n_A+1/n_B}} = \frac{11{,}860-11{,}980}{318.8\sqrt{1/11+1/10}} = \frac{-120}{139.3} = \boxed{-0.861}.$$
With df $=19$, $t_{0.025,19}=2.093$, and $|-0.861|<2.093$, we fail to reject H₀ — the mean lifetimes of the two manufacturers' bulbs are not significantly different.
Question 7 — final results
Part
Quantity
Value
(a)
F stat vs F-crit
2.190 < 3.964 → fail to reject (pool)
(b)
t stat vs t-crit
−0.861, |t|<2.093 → fail to reject
Check: assumes both bulb-lifetime populations are Normally distributed and the two samples are independent — the standard assumption for the F-test and two-sample t-test with small samples.