Question 8 of 8: Chi-Square Test of Homogeneity Across Assembly Lines
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
National Examinations, December 2013 — 04-BS-2 Probability and Statistics, 2 hours, closed book except one hand-written information sheet and an approved calculator. Statistical tables (Normal, t, chi-square, F) are supplied with the paper. The instructions state that any 5 of the 8 questions constitute a complete paper; every question is answered in full below.
Reference texts: Walpole, Myers, Myers & Ye, Probability & Statistics for Engineers and Scientists (9th ed.) — sampling distributions Ch. 8, estimation Ch. 9, hypothesis testing Ch. 10, ANOVA/chi-square Ch. 13–16.
Question 8: Chi-Square Test of Homogeneity Across Assembly Lines (20 marks)
Find. Test $H_0: p_A=p_B=p_C=p_D$ (homogeneity of substandard proportions across the 4 lines) at $\alpha=0.05$.
Approach. A $2\times4$ contingency-table chi-square test of homogeneity: pool all four lines to estimate the common proportion under $H_0$, compute expected substandard/standard counts per line under that pooled proportion, and sum $(O-E)^2/E$ over all 8 cells.
(a) Pooled proportion under $H_0$. Total units $=12{,}000+11{,}500+12{,}600+11{,}900=48{,}000$; total substandard $=500+435+574+591=2{,}100$.
$$\hat p=\dfrac{2{,}100}{48{,}000}=\boxed{0.04375}$$
Expected counts. Expected substandard for line $i$ is $E_i=n_i\hat p$: $E_A=525.0,\ E_B=503.1,\ E_C=551.3,\ E_D=520.6$; the corresponding expected standard counts are $n_i(1-\hat p)$.
Chi-square statistic. Summing $(O-E)^2/E$ over both the substandard and standard cells for all four lines,
$$\chi^2=\sum_{i}\left[\dfrac{(O_{i,\text{sub}}-E_{i,\text{sub}})^2}{E_{i,\text{sub}}}+\dfrac{(O_{i,\text{std}}-E_{i,\text{std}})^2}{E_{i,\text{std}}}\right]=\boxed{21.82}$$
with $df=(4-1)=3$.
Decision. $\chi^2_{0.05,3}=7.815$ from the chi-square table. Since $21.82>7.815$: reject $H_0$ — the proportion of substandard units is NOT the same across all four assembly lines (Line D, at $591/11{,}900=4.97\%$, and Line C, at $574/12{,}600=4.56\%$, run visibly higher than Line A's $4.17\%$ and Line B's $3.78\%$).
Final results — Question 8
Quantity
Result
Pooled proportion $\hat p$
0.04375
$\chi^2$ statistic, $df$
21.82, $df=3$
Critical value $\chi^2_{0.05,3}$
7.815
Verdict
Reject $H_0$ — substandard proportions differ across lines