| Exam Board | OCR MEI |
|---|---|
| Module | Paper 2 (Paper 2) |
| Year | 2020 |
| Session | November |
| Marks | 9 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | T-tests (unknown variance) |
| Type | Two-sample z-test large samples |
| Difficulty | Standard +0.3 This is a straightforward application of a one-sample t-test with all necessary statistics provided. Students must identify the two-tailed nature from context, state H₀: μ=5 vs H₁: μ≠5, calculate the test statistic t = (4.8855-5)/(2.7054/√120) ≈ -0.464, and compare to critical values. The only mild challenge is selecting s rather than σ, but this is standard for t-tests. Easier than average due to routine procedure and given data. |
| Spec | 2.01c Sampling techniques: simple random, opportunity, etc2.05e Hypothesis test for normal mean: known variance |
| Statistics | |
| \(n\) | 120 |
| Mean | 4.8855 |
| \(\sigma\) | 2.6941 |
| \(s\) | 2.7054 |
| \(\Sigma x\) | 586.2566 |
| \(\Sigma x ^ { 2 }\) | 3735.1475 |
| Min | 0.1213 |
| Q1 | 2.5472 |
| Median | 4.8692 |
| Q3 | 7.0349 |
| Max | 9.9856 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| e.g. randomly select \(N\) different businesses and then randomly select \(P\) computers from each business; may be implied by correct description | B1 | \(N \times P = 120\) where \(N\) and \(P\) are integers greater than 1; e.g. 20 and 6 or 15 and 8 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(H_0: \mu = 5\) oe; \(H_1: \mu \neq 5\) oe | B1 | allow any parameter apart from \(\bar{x}\) for population mean as long as clearly defined as (population) mean |
| \(H_1\) takes this form as Claud is testing whether the mean length of time is different to 5 oe | B1 | |
| \(\mu\) is the population mean time for which computers are kept before being replaced | B1 | |
| use of \(N\!\left(5, \frac{2.7054^2}{120}\right)\) to find \(P(\bar{X} < 4.8855)\) or invNorm\(\!\left(p, 5, \frac{2.7054}{\sqrt{120}}\right)\) where \(p = 0.025\) or \(0.05\); may be implied by \(0.3215\) or \(4.51595\ldots\) or \(4.59377\ldots\) | M1 | condone use of \(2.6941\) (may be rounded) instead of \(2.7054\) for M1; or \(z = \frac{4.8855-5}{\frac{2.7054}{\sqrt{120}}}\); awrt \(-0.46\) A1 (may be implied by \(-0.466\) or \(-0.465567\ldots\) if \(2.6941\) used) |
| \(P(\bar{X} < 4.8855) =\) awrt \(0.32\) | A1 | or CR is \((\bar{X}) < 4.5 - 4.6\) |
| \(0.32 > 0.025\) or \(4.8855 > 4.5(2)\) | M1 | comparison of their probability with \(0.025\) or comparison of \(4.8855\) with their critical value from use of \(0.025\), as long as previous M1 awarded; their \(-0.4436 > -1.96\) oe; M1 dep on award of previous M1 |
| not significant or accept \(H_0\) or do not reject \(H_0\) or reject \(H_1\) | A1FT | may be embedded in conclusion in context |
| insufficient evidence to suggest (at 5% level) that the (population) mean length of time (computers are kept) is not 5 years | A1FT | do not allow e.g. conclude/prove/indicate or other assertive statement instead of suggest; A0 if answer spoiled |
## Question 9:
### Part (a):
| Answer | Marks | Guidance |
|--------|-------|----------|
| e.g. randomly select $N$ different businesses and then randomly select $P$ computers from each business; may be implied by correct description | B1 | $N \times P = 120$ where $N$ and $P$ are integers greater than 1; e.g. 20 and 6 or 15 and 8 |
### Part (b):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $H_0: \mu = 5$ oe; $H_1: \mu \neq 5$ oe | B1 | allow any parameter apart from $\bar{x}$ for population mean as long as clearly defined as (population) mean |
| $H_1$ takes this form as Claud is testing whether the mean length of time is different to 5 oe | B1 | |
| $\mu$ is the **population** mean time for which computers are kept before being replaced | B1 | |
| use of $N\!\left(5, \frac{2.7054^2}{120}\right)$ to find $P(\bar{X} < 4.8855)$ or invNorm$\!\left(p, 5, \frac{2.7054}{\sqrt{120}}\right)$ where $p = 0.025$ or $0.05$; may be implied by $0.3215$ or $4.51595\ldots$ or $4.59377\ldots$ | M1 | condone use of $2.6941$ (may be rounded) instead of $2.7054$ for M1; or $z = \frac{4.8855-5}{\frac{2.7054}{\sqrt{120}}}$; awrt $-0.46$ A1 (may be implied by $-0.466$ or $-0.465567\ldots$ if $2.6941$ used) |
| $P(\bar{X} < 4.8855) =$ awrt $0.32$ | A1 | or CR is $(\bar{X}) < 4.5 - 4.6$ |
| $0.32 > 0.025$ or $4.8855 > 4.5(2)$ | M1 | comparison of their probability with $0.025$ or comparison of $4.8855$ with their critical value from use of $0.025$, as long as previous M1 awarded; their $-0.4436 > -1.96$ oe; M1 dep on award of previous M1 |
| not significant or accept $H_0$ or do not reject $H_0$ or reject $H_1$ | A1FT | may be embedded in conclusion in context |
| insufficient evidence to **suggest** (at 5% level) that the (population) **mean** length of time (computers are kept) is not 5 years | A1FT | do not allow e.g. conclude/prove/indicate or other assertive statement instead of suggest; A0 if answer spoiled |
9 A company supplies computers to businesses. In the past the company has found that computers are kept by businesses for a mean time of 5 years before being replaced. Claud, the manager of the company, thinks that the mean time before replacing computers is now different.\\
(a) Describe how Claud could obtain a cluster sample of 120 computers used by businesses the company supplies.
Claud decides to conduct a hypothesis test at the $5 \%$ level to test whether there is evidence to suggest that the mean time that businesses keep computers is not 5 years. He takes a random sample of 120 computers. Summary statistics for the length of time computers in this sample are kept are shown in Fig. 9.
\begin{table}[h]
\begin{center}
\begin{tabular}{ | l | l | }
\hline
\multicolumn{2}{|l|}{Statistics} \\
\hline
$n$ & 120 \\
\hline
Mean & 4.8855 \\
\hline
$\sigma$ & 2.6941 \\
\hline
$s$ & 2.7054 \\
\hline
$\Sigma x$ & 586.2566 \\
\hline
$\Sigma x ^ { 2 }$ & 3735.1475 \\
\hline
Min & 0.1213 \\
\hline
Q1 & 2.5472 \\
\hline
Median & 4.8692 \\
\hline
Q3 & 7.0349 \\
\hline
Max & 9.9856 \\
\hline
\end{tabular}
\captionsetup{labelformat=empty}
\caption{Fig. 9}
\end{center}
\end{table}
\section*{(b) In this question you must show detailed reasoning.}
\begin{itemize}
\item State the hypotheses for this test, explaining why the alternative hypothesis takes the form it does.
\item Use a suitable distribution to carry out the test.
\end{itemize}
\hfill \mbox{\textit{OCR MEI Paper 2 2020 Q9 [9]}}