| Exam Board | OCR MEI |
|---|---|
| Module | Paper 2 (Paper 2) |
| Year | 2024 |
| Session | June |
| Marks | 17 |
| 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 multi-part hypothesis testing question covering standard A-level statistics techniques: calculating mean/SD from summary statistics, checking normality assumptions, using normal distribution for predictions, finding critical values, and conducting a one-sample z-test. All parts follow routine procedures with no novel problem-solving required, though it's slightly above average difficulty due to the length and requiring careful application of multiple standard techniques. |
| Spec | 2.02g Calculate mean and standard deviation2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation |
| \(n\) | 55 |
| \(\sum x\) | 18535 |
| \(\sum x ^ { 2 }\) | 6247066.6 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(337\) | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(\sqrt{\frac{1}{54}(6247066.6 - 55 \times 337^2)}\) | B1 | NB \(\sqrt{14.289} = 3.7800\ldots\); may see \(\sqrt{\frac{6247066.6}{55} - 337^2} \times \sqrt{\frac{55}{54}}\) or \(\sqrt{\frac{6247066.6}{54} - \frac{55 \times 337^2}{54}}\) |
| \(\approx 3.78\) | AG; must see substitution of at least three of 6247066.6, 337, 55 and 54 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| allow any two reasons eg distribution is (approximately) symmetrical | E1 | |
| eg distribution is (approximately) bell-shaped / eg distribution is unimodal / eg data is continuous | E1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(P(X < 330)\) found from \(N(\text{their } 337, \ 3.78^2)\) | M1 | may be implied by 0.032; allow a more precise value for 3.78 if found in part (a)(ii); NB eg \(N(-9\text{E}999, 330, 337, 3.78)\); NB may see \(\sigma^2 = \frac{643}{45}\) or \(z = \frac{330-337}{3.78}(= -1.85\ldots)\) |
| \(100 \times \text{their } 0.032\) | M1 | |
| awrt \(3.2\) www | A1 | mark the final answer |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \((z =) \pm 2.3263\ldots\) seen | B1 | to 2 or more dp |
| their \(z = \frac{330 - \mu}{3.78}\) | M1 | |
| \(338.79 \approx 339\) | A1 | must be correct to 3 sf; A0 for \(\mu \geq 339\) or \(\mu > 339\) |
| *Alternatively using calculator:* cdfNormal\((-9.999\times10^{999}, 330, 338, 3.78) = 0.017(155\ldots) > 0.01\) or cdfNormal\((-9.999\times10^{999}, 330, 338.5, 3.78) = 0.012(266\ldots) > 0.01\) | M1 | allow slip in calculation if intent is clear; allow for any value between 338 and 338.78 inclusive; must see correct distributions if probabilities are wrong |
| cdfNormal\((-9.999\times10^{999}, 330, 339, 3.78) = 0.0086(339\ldots) < 0.01\) | M1 | allow for any value between 338.8 and 339.5; NB critical value is 338.79 |
| hence minimum value for \(\mu\) is \(339\) | A1 | must be correct to 3 sf; A0 for \(\mu \geq 339\) or \(\mu > 339\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(H_0: \mu = 340\), \(H_1: \mu < 340\) | B1 | Do not allow \(\bar{X}\) or \(X\), but allow other symbol if defined as [population] mean volume; allow equivalent in words |
| \(\mu\) is the population mean (volume of drink in a bottle of Fizzipop) | B1 | |
| \(N\left(340, \frac{3.78^2}{100}\right)\) oe seen | M1* | May be implied by \(0.0477 - 0.048\); may see \(N(340, 0.378^2)\); may see \(\sigma^2 = \frac{643}{4500}\) |
| \([P(\bar{X} < 339.37) =] 0.0477 - 0.048\) | A1 | Allow slip such as \(X\) for \(\bar{X}\) but do not allow \(\mu\) |
| Their \(0.048\) correctly compared with \(0.05\) | M1dep* | |
| Do not accept \(H_0\) or reject \(H_0\) or accept \(H_1\) or significant | A1FT | |
| There is sufficient evidence at the 5% level to suggest that the mean volume of drink in a bottle of Fizzipop is less than 340 ml oe | A1 | Dependent on award of all other marks apart from second B1; do not allow e.g. conclude/prove/indicate or other assertive statement instead of suggest |
| Total: [7] |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(H_0: \mu = 340\), \(H_1: \mu < 340\) | B1 | As above |
| \(\mu\) is the population mean | B1 | |
| \(N\left(340, \frac{3.78^2}{100}\right)\) oe seen | M1* | May be implied by \(339.378 - 339.38\); may see \(N(340, 0.378^2)\); may see \(\sigma^2 = \frac{643}{4500}\) |
| Critical region is \(\bar{X} <\) ]\(339.378 - 339.38\) | A1 | Or critical value is \(\bar{X} =\) ]\(339.378 - 339.38\); allow slip such as \(X\) for \(\bar{X}\) but do not allow \(\mu\) |
| \(339.37\) correctly compared with their \(339.378\) | M1dep* | Allow e.g. so \(339.37\) is in the critical region if critical region explicitly identified |
| Do not accept \(H_0\) or reject \(H_0\) or accept \(H_1\) or significant | A1FT | A0 if \(339.37 >\) their \(339.378\) |
| Sufficient evidence at 5% level to suggest mean volume less than 340 ml oe | A1 | Dependent on award of all other marks apart from second B1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(H_0: \mu = 340\), \(H_1: \mu < 340\) | B1 | As above |
| \(\mu\) is the population mean | B1 | |
| \(N\left(340, \frac{3.78^2}{100}\right)\) oe seen | M1* | May be implied by \(z = -1.667\); may see \(N(340, 0.378^2)\); may see \(\sigma^2 = \frac{643}{4500}\) |
| \([z =] - 1.667\) | A1 | |
| Their \(z\) correctly compared with \(-1.64485\) to 2 or more dp oe; must come from \(N(340, \sigma)\) | M1dep* | |
| Do not accept \(H_0\) or reject \(H_0\) or accept \(H_1\) or significant | A1FT | A0 if their \(z > -1.64485\) |
| Sufficient evidence at 5% level to suggest mean volume less than 340 ml oe | A1 | Dependent on award of all other marks apart from second B1 |
# Question 15:
## Part (a)(i):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $337$ | B1 | |
**[1]**
## Part (a)(ii):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $\sqrt{\frac{1}{54}(6247066.6 - 55 \times 337^2)}$ | B1 | NB $\sqrt{14.289} = 3.7800\ldots$; may see $\sqrt{\frac{6247066.6}{55} - 337^2} \times \sqrt{\frac{55}{54}}$ or $\sqrt{\frac{6247066.6}{54} - \frac{55 \times 337^2}{54}}$ |
| $\approx 3.78$ | | AG; must see substitution of at least three of 6247066.6, 337, 55 and 54 |
**[1]**
## Part (b):
| Answer | Marks | Guidance |
|--------|-------|----------|
| allow any two reasons eg distribution is (approximately) symmetrical | E1 | |
| eg distribution is (approximately) bell-shaped / eg distribution is unimodal / eg data is continuous | E1 | |
**[2]**
## Part (c):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $P(X < 330)$ found from $N(\text{their } 337, \ 3.78^2)$ | M1 | may be implied by 0.032; allow a more precise value for 3.78 if found in part (a)(ii); NB eg $N(-9\text{E}999, 330, 337, 3.78)$; NB may see $\sigma^2 = \frac{643}{45}$ or $z = \frac{330-337}{3.78}(= -1.85\ldots)$ |
| $100 \times \text{their } 0.032$ | M1 | |
| awrt $3.2$ www | A1 | mark the final answer |
**[3]**
## Part (d):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $(z =) \pm 2.3263\ldots$ seen | B1 | to 2 or more dp |
| their $z = \frac{330 - \mu}{3.78}$ | M1 | |
| $338.79 \approx 339$ | A1 | must be correct to 3 sf; A0 for $\mu \geq 339$ or $\mu > 339$ |
| *Alternatively using calculator:* cdfNormal$(-9.999\times10^{999}, 330, 338, 3.78) = 0.017(155\ldots) > 0.01$ or cdfNormal$(-9.999\times10^{999}, 330, 338.5, 3.78) = 0.012(266\ldots) > 0.01$ | M1 | allow slip in calculation if intent is clear; allow for any value between 338 and 338.78 inclusive; must see correct distributions if probabilities are wrong |
| cdfNormal$(-9.999\times10^{999}, 330, 339, 3.78) = 0.0086(339\ldots) < 0.01$ | M1 | allow for any value between 338.8 and 339.5; NB critical value is 338.79 |
| hence minimum value for $\mu$ is $339$ | A1 | must be correct to 3 sf; A0 for $\mu \geq 339$ or $\mu > 339$ |
**[3]**
## Question 15(e):
| Answer | Mark | Guidance |
|--------|------|----------|
| $H_0: \mu = 340$, $H_1: \mu < 340$ | B1 | Do not allow $\bar{X}$ or $X$, but allow other symbol if defined as [population] mean volume; allow equivalent in words |
| $\mu$ is the **population mean** (volume of drink in a bottle of Fizzipop) | B1 | |
| $N\left(340, \frac{3.78^2}{100}\right)$ oe seen | M1* | May be implied by $0.0477 - 0.048$; may see $N(340, 0.378^2)$; may see $\sigma^2 = \frac{643}{4500}$ |
| $[P(\bar{X} < 339.37) =] 0.0477 - 0.048$ | A1 | Allow slip such as $X$ for $\bar{X}$ but do not allow $\mu$ |
| Their $0.048$ correctly compared with $0.05$ | M1dep* | |
| Do not accept $H_0$ **or** reject $H_0$ **or** accept $H_1$ **or** significant | A1FT | |
| There is **sufficient evidence** at the 5% level to **suggest** that the **mean volume** of drink in a bottle of Fizzipop is **less than** 340 ml oe | A1 | Dependent on award of all other marks apart from second B1; do not allow e.g. conclude/prove/indicate or other assertive statement instead of suggest |
| **Total: [7]** | | |
**Alternative (critical region method):**
| Answer | Mark | Guidance |
|--------|------|----------|
| $H_0: \mu = 340$, $H_1: \mu < 340$ | B1 | As above |
| $\mu$ is the **population mean** | B1 | |
| $N\left(340, \frac{3.78^2}{100}\right)$ oe seen | M1* | May be implied by $339.378 - 339.38$; may see $N(340, 0.378^2)$; may see $\sigma^2 = \frac{643}{4500}$ |
| Critical region is $\bar{X} <$ ]$339.378 - 339.38$ | A1 | Or critical value is $\bar{X} =$ ]$339.378 - 339.38$; allow slip such as $X$ for $\bar{X}$ but do not allow $\mu$ |
| $339.37$ correctly compared with their $339.378$ | M1dep* | Allow e.g. so $339.37$ is in the critical region if critical region explicitly identified |
| Do not accept $H_0$ **or** reject $H_0$ **or** accept $H_1$ **or** significant | A1FT | A0 if $339.37 >$ their $339.378$ |
| Sufficient evidence at 5% level to suggest mean volume less than 340 ml oe | A1 | Dependent on award of all other marks apart from second B1 |
**Alternative (standard normal distribution):**
| Answer | Mark | Guidance |
|--------|------|----------|
| $H_0: \mu = 340$, $H_1: \mu < 340$ | B1 | As above |
| $\mu$ is the **population mean** | B1 | |
| $N\left(340, \frac{3.78^2}{100}\right)$ oe seen | M1* | May be implied by $z = -1.667$; may see $N(340, 0.378^2)$; may see $\sigma^2 = \frac{643}{4500}$ |
| $[z =] - 1.667$ | A1 | |
| Their $z$ correctly compared with $-1.64485$ to 2 or more dp oe; must come from $N(340, \sigma)$ | M1dep* | |
| Do not accept $H_0$ **or** reject $H_0$ **or** accept $H_1$ **or** significant | A1FT | A0 if their $z > -1.64485$ |
| Sufficient evidence at 5% level to suggest mean volume less than 340 ml oe | A1 | Dependent on award of all other marks apart from second B1 |
---
15 Bottles of Fizzipop nominally contain 330 ml of drink. A consumer affairs researcher collects a random sample of 55 bottles of Fizzipop and records the volume of drink in each bottle.
Summary statistics for the researcher's sample are shown in the table.
\begin{center}
\begin{tabular}{ | l | l | }
\hline
$n$ & 55 \\
\hline
$\sum x$ & 18535 \\
\hline
$\sum x ^ { 2 }$ & 6247066.6 \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\alph*)]
\item \begin{enumerate}[label=(\roman*)]
\item Calculate the mean volume of drink in a bottle of Fizzipop.
\item Show that the standard deviation of the volume of drink in a bottle of Fizzipop is 3.78 ml .
The researcher uses software to produce a histogram with equal class intervals, which is shown below.\\
\includegraphics[max width=\textwidth, alt={}, center]{8e48bbd3-2166-49e7-8906-833261f331ca-10_533_759_1181_251}
\end{enumerate}\item Explain why the researcher decides that the Normal distribution is a suitable model for the volume of drink in a bottle of Fizzipop.
\item Use your answers to parts (a) and (b) to determine the expected number of bottles which contain less than 330 ml in a random sample of 100 bottles.
In order to comply with new regulations, no more than 1\% of bottles of Fizzipop should contain less than 330 ml .
The manufacturer decides to meet the new regulations by adjusting the manufacturing process so that the mean volume of drink in a bottle of Fizzipop is increased.
The standard deviation is unaltered.
\item Determine the minimum mean volume of drink in a bottle of Fizzipop which should ensure that the new regulations are met. Give your answer to $\mathbf { 3 }$ significant figures.
The mean volume of drink in a bottle of Fizzipop is set to 340 ml . After several weeks the quality control manager suspects the mean volume may have reduced. She collects a random sample of 100 bottles of Fizzipop.
The mean volume of drink in a bottle in the sample is found to be 339.37 ml .
\item Assuming the standard deviation is unaltered, conduct a hypothesis test at the $5 \%$ level to determine whether there is any evidence to suggest that the mean volume of drink in a bottle of Fizzipop is less than 340 ml .
\end{enumerate}
\hfill \mbox{\textit{OCR MEI Paper 2 2024 Q15 [17]}}