Question 5 of 8: Estimation and Hypothesis Testing — Young's Modulus
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
National Examinations May 2019 (course code 04-IE-2 / 04-BS-2, shared statistics paper) — Probability and Statistics, 2 hours, closed book except one hand-written information sheet and an approved calculator. Any 5 of 8 questions constitute a complete paper; all 8 are solved below.
Reference texts: Walpole, Myers, Myers & Ye, Probability & Statistics for Engineers and Scientists (Pearson) — used throughout for distribution theory, estimation and hypothesis-testing formulas.
Find. (a) 99% CI for $\mu$ and for $\sigma$. (b) test $H_0:\mu=30.0$ at $\alpha=0.05$. (c) test $H_0:\sigma=1.1$ at $\alpha=0.05$.
Approach. Compute $\bar x$ and $s^2$ from the sums, then use the t-distribution (small $n$, $\sigma$ unknown) for the mean and the chi-square distribution for the standard deviation, both with $df=n-1=18$.
(a)(i) 99% CI for the true mean. With $t_{0.005,18}=2.878$: $$\bar x\pm t_{0.005,18}\dfrac{s}{\sqrt n}=31.0\pm 2.878\dfrac{1.2247}{\sqrt{19}}=31.0\pm 0.809$$ $$\boxed{30.191\ \text{MPa}\lt\mu\lt 31.809\ \text{MPa}}$$
(a)(ii) 99% CI for the true standard deviation. With $\chi^2_{0.995,18}=6.265$ and $\chi^2_{0.005,18}=37.156$: $$\dfrac{(n-1)s^2}{\chi^2_{0.005,18}}\lt\sigma^2\lt\dfrac{(n-1)s^2}{\chi^2_{0.995,18}}\ \Rightarrow\ \dfrac{27.0}{37.156}\lt\sigma^2\lt\dfrac{27.0}{6.265}$$ $$0.727\lt\sigma^2\lt 4.310\quad\Rightarrow\quad\boxed{0.852\ \text{MPa}\lt\sigma\lt 2.076\ \text{MPa}}$$
(b) Test $H_0:\mu=30.0$ vs. $H_1:\mu\ne 30.0$, $\alpha=0.05$. $$t=\dfrac{\bar x-\mu_0}{s/\sqrt n}=\dfrac{31.0-30.0}{1.2247/\sqrt{19}}=3.559$$ Critical value $t_{0.025,18}=2.101$. Since $|3.559|\gt 2.101$, reject $H_0$. $$\boxed{\text{Reject } H_0:\ \mu\text{ is significantly different from }30.0\text{ MPa}}$$
(c) Test $H_0:\sigma=1.1$ vs. $H_1:\sigma\ne 1.1$, $\alpha=0.05$. $$\chi^2=\dfrac{(n-1)s^2}{\sigma_0^2}=\dfrac{18(1.5)}{1.1^2}=22.31$$ Critical bounds $\chi^2_{0.975,18}=8.231$ and $\chi^2_{0.025,18}=31.526$. Since $8.231\lt 22.31\lt 31.526$, fail to reject $H_0$. $$\boxed{\text{Fail to reject } H_0:\ \sigma\text{ is not significantly different from }1.1\text{ MPa}}$$
Question 5 — final results
Part
Quantity
Result
x̄, s², s
31.0 MPa, 1.5 MPa², 1.2247 MPa
(a)(i)
99% CI for μ
(30.191, 31.809) MPa
(a)(ii)
99% CI for σ
(0.852, 2.076) MPa
(b)
t, decision (H₀: μ=30.0)
t=3.559 > 2.101 → reject H₀
(c)
χ², decision (H₀: σ=1.1)
χ²=22.31, within (8.231,31.526) → fail to reject H₀