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04-BS-2 · Undated paper

Question 5 of 8: Estimation and Hypothesis Testing — Young's Modulus

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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.

Question 5: Estimation and Hypothesis Testing — Young's Modulus (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 data
Sample size n19
ΣX589.0 MPa
ΣX²18,286.0 MPa²

Given. $X\sim\text{Normal}$; $n=19$, $\Sigma X=589.0$, $\Sigma X^2=18{,}286.0$.

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 $df=n-1=18$.

  1. Sample statistics. $$\bar x=\dfrac{\Sigma X}{n}=\dfrac{589.0}{19}=31.0\ \text{MPa}$$ $$s^2=\dfrac{\Sigma X^2-\left(\Sigma X\right)^2/n}{n-1}=\dfrac{18{,}286.0-589.0^2/19}{18}=\dfrac{27.0}{18}=1.5\ \text{MPa}^2,\quad s=1.2247\ \text{MPa}$$
  2. (a)(i) 99% CI for the true mean. With $t_{0.005,18}=2.878$: $$\bar x\pm t_{0.005,18}\dfrac{s}{\sqrt n}=31.0\pm 2.878\dfrac{1.2247}{\sqrt{19}}=31.0\pm 0.809$$ $$\boxed{30.191\ \text{MPa}\lt\mu\lt 31.809\ \text{MPa}}$$
  3. (a)(ii) 99% CI for the true standard deviation. With $\chi^2_{0.995,18}=6.265$ and $\chi^2_{0.005,18}=37.156$: $$\dfrac{(n-1)s^2}{\chi^2_{0.005,18}}\lt\sigma^2\lt\dfrac{(n-1)s^2}{\chi^2_{0.995,18}}\ \Rightarrow\ \dfrac{27.0}{37.156}\lt\sigma^2\lt\dfrac{27.0}{6.265}$$ $$0.727\lt\sigma^2\lt 4.310\quad\Rightarrow\quad\boxed{0.852\ \text{MPa}\lt\sigma\lt 2.076\ \text{MPa}}$$
  4. (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 $H_0$. $$\boxed{\text{Reject } H_0:\ \mu\text{ is significantly different from }30.0\text{ MPa}}$$
  5. (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
PartQuantityResult
x̄, s², s31.0 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