OCR MEI Paper 2 2024 June — Question 15 17 marks

Exam BoardOCR MEI
ModulePaper 2 (Paper 2)
Year2024
SessionJune
Marks17
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicT-tests (unknown variance)
TypeTwo-sample z-test large samples
DifficultyStandard +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.
Spec2.02g Calculate mean and standard deviation2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation

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.
\(n\)55
\(\sum x\)18535
\(\sum x ^ { 2 }\)6247066.6
    1. Calculate the mean volume of drink in a bottle of Fizzipop.
    2. 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}
  1. Explain why the researcher decides that the Normal distribution is a suitable model for the volume of drink in a bottle of Fizzipop.
  2. 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.
  3. 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 .
  4. 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 .

Question 15:
Part (a)(i):
AnswerMarks Guidance
AnswerMarks Guidance
\(337\)B1
[1]
Part (a)(ii):
AnswerMarks Guidance
AnswerMarks 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):
AnswerMarks Guidance
AnswerMarks Guidance
allow any two reasons eg distribution is (approximately) symmetricalE1
eg distribution is (approximately) bell-shaped / eg distribution is unimodal / eg data is continuousE1
[2]
Part (c):
AnswerMarks Guidance
AnswerMarks 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 \(3.2\) wwwA1 mark the final answer
[3]
Part (d):
AnswerMarks Guidance
AnswerMarks Guidance
\((z =) \pm 2.3263\ldots\) seenB1 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):
AnswerMarks Guidance
AnswerMark 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 seenM1* 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 significantA1FT
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 oeA1 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):
AnswerMarks Guidance
AnswerMark Guidance
\(H_0: \mu = 340\), \(H_1: \mu < 340\)B1 As above
\(\mu\) is the population meanB1
\(N\left(340, \frac{3.78^2}{100}\right)\) oe seenM1* 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 significantA1FT A0 if \(339.37 >\) their \(339.378\)
Sufficient evidence at 5% level to suggest mean volume less than 340 ml oeA1 Dependent on award of all other marks apart from second B1
Alternative (standard normal distribution):
AnswerMarks Guidance
AnswerMark Guidance
\(H_0: \mu = 340\), \(H_1: \mu < 340\)B1 As above
\(\mu\) is the population meanB1
\(N\left(340, \frac{3.78^2}{100}\right)\) oe seenM1* 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 significantA1FT A0 if their \(z > -1.64485\)
Sufficient evidence at 5% level to suggest mean volume less than 340 ml oeA1 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]}}