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04-BS-2 · May 2013

Question 7 of 8: Two-Sample Tests — Comparing Light Bulb Makes

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

National Examinations, May 2013 — 04-BS-2 Probability and Statistics (2 hours, closed book except one hand-written information sheet and an approved calculator; any 5 of the 8 questions constitute a complete paper — all 8 are answered below as a full study resource).

Reference texts: Walpole, Myers, Myers & Ye, Probability & Statistics for Engineers and Scientists, 9th ed. (sampling distributions, estimation, hypothesis testing, correlation/regression); standard Normal, t, χ² and F tables as supplied with the exam.

Check: the printed sample-size line for Question 7 reads "thirteen bulbs were randomly selected...one result had to be discarded" immediately above a table showing nA=13, nB=12. Read as: Make A's sample stayed at 13 (no discard), Make B's original 13 dropped to 12 after the discard — the table's printed nA=13, nB=12 are used as given.

Question 7: Two-Sample Tests — Comparing Light Bulb Makes (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Given.

Given data
Make AMake B
n1312
Sample mean (h)10,0009,900
Sample s.d. (h)110.085.0

Find. (a) F-test for equal variances at α=0.05; (b) t-test for equal means at α=0.05 (choosing pooled or Welch form based on part (a)'s conclusion).

Approach. Test variances first with an F-test since the correct form of the mean-comparison test depends on whether the two population variances can be assumed equal; both samples are independent random samples assumed drawn from Normal populations (necessary for both the F and t procedures at these small sample sizes).

  1. (a) F-test for equal variances, H₀: σA²=σB² vs H₁: σA²≠σB². Assumption: both samples are independent random samples from Normal populations. With the larger variance in the numerator, $$F=\dfrac{s_A^2}{s_B^2}=\dfrac{110.0^2}{85.0^2}=\dfrac{12{,}100}{7{,}225}=\boxed{1.675}.$$ Degrees of freedom $df_A=12$, $df_B=11$; critical value $F_{0.025,12,11}=3.430$. Since $F=1.675<3.430$, fail to reject H₀: the two variances are not significantly different at α=0.05.
  2. (b) Pooled-variance t-test for equal means, H₀: μA=μB vs H₁: μA≠μB. Since (a) supports equal variances, pool the two sample variances: $$s_p^2=\dfrac{(n_A-1)s_A^2+(n_B-1)s_B^2}{n_A+n_B-2}=\dfrac{12(12{,}100)+11(7{,}225)}{23}=\dfrac{224{,}675}{23}=9{,}768.5\ \Rightarrow\ s_p=98.84.$$ $$t=\dfrac{m_A-m_B}{s_p\sqrt{1/n_A+1/n_B}}=\dfrac{10{,}000-9{,}900}{98.84\sqrt{1/13+1/12}}=\boxed{2.527}.$$ Degrees of freedom $n_A+n_B-2=23$; critical value $t_{0.025,23}=2.069$. Since $|t|=2.527>2.069$, reject H₀: the mean life of Make A is significantly greater than that of Make B at α=0.05.
Question 7 — final results
PartQuantityValue
(a)F, Fcrit; decision1.675, 3.430; fail to reject H₀
(b)t, tcrit; decision2.527, 2.069; reject H₀