OCR MEI Paper 2 2023 June — Question 13 9 marks

Exam BoardOCR MEI
ModulePaper 2 (Paper 2)
Year2023
SessionJune
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicT-tests (unknown variance)
TypeOne-sample z-test known variance
DifficultyStandard +0.3 This is a straightforward one-sample t-test with all necessary information provided. Students must state hypotheses, identify the t-distribution, find a critical value from tables, and compare the test statistic to reach a conclusion. While it requires multiple steps, each is routine application of standard hypothesis testing procedures covered extensively in Further Maths Statistics. The question is slightly easier than average because the data summary is given (no calculation of sample statistics needed) and it follows a standard template structure.
Spec2.05a Hypothesis testing language: null, alternative, p-value, significance2.05e Hypothesis test for normal mean: known variance

13 A large supermarket chain advertises that the mean mass of apples of a certain variety on sale in their stores is 0.14 kg . Following a poor growing season, the head of quality control believes that the mean mass of these apples is less than 0.14 kg and she decides to carry out a hypothesis test at the \(5 \%\) level of significance. She collects a random sample of this variety of apple from the supermarket chain and records the mass, in kg, of each apple. She uses software to analyse the data. The results are summarised in the output below.
\(n\)80
Mean0.1316
\(\sigma\)0.0198
\(s\)0.0199
\(\Sigma x\)10.525
\(\Sigma x ^ { 2 }\)1.4161
Min0.1
Q10.12
Median0.132
Q30.1435
Max0.19
  1. State the null hypothesis and the alternative hypothesis for the test, defining the parameter used.
  2. Write down the distribution of the sample mean for this hypothesis test.
  3. Determine the critical region for the test.
  4. Carry out the test, giving your conclusion in context.

Question 13(a):
AnswerMarks Guidance
AnswerMarks Guidance
\(H_0: \mu = 0.14\), \(H_1: \mu < 0.14\)B1 allow any other symbol except \(\bar{x}\) or \(\bar{X}\), as long as it is correctly defined; allow hypotheses stated in words
their \(\mu\) is the population mean mass of this variety of appleB1 allow weight; correct definition of \(\mu\) may be embedded in hypotheses written out as a sentence; do not allow \(\bar{x}\) or \(\bar{X}\)
Question 13(b):
AnswerMarks Guidance
AnswerMarks Guidance
\([\bar{X} \sim\,] N\left(0.14, \frac{0.0199^2}{80}\right)\)B1 Normal distribution with correct mean or variance; allow variance = awrt \(4.95 \times 10^{-6}\) or awrt \(0.00222^2\)
B1all correct, but allow full credit if no symbol used; allow symbol other than \(\bar{X}\) if correctly defined as sample mean, but do not allow \(\mu\)
Question 13(c):
AnswerMarks Guidance
AnswerMarks Guidance
awrt \(0.136\) seen BCB1
\(\bar{X} < 0.136\) only or \(\bar{X} \leq 0.136\) onlyB1 FT other correctly defined symbol
Question 13(d):
AnswerMarks Guidance
AnswerMarks Guidance
\(0.1316 < 0.136\) or \(0.1316\) is in the critical region (must be correct critical region) oe or \(p =\) awrt \(0.00008 < 0.05\) oe; NB \(0.0000799\) or \(z =\) awrt \(-3.78 < -1.645\) oeM1 condone \(p =\) awrt \(0.00007 < 0.05\) oe NB \(0.0000740\); or \(z =\) awrt \(-3.79 < -1.645\) oe from use of \(\bar{X} \sim N\left(0.14, \frac{0.0198^2}{80}\right)\)
reject \(H_0\)A1 allow accept \(H_1\) or result is significant
there is sufficient evidence at the 5% level to suggest that the mean mass of the apples is less than \(0.14\) kgA1 allow weight; do not allow eg conclude/prove/indicate or other assertive statement instead of suggest
## Question 13(a):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $H_0: \mu = 0.14$, $H_1: \mu < 0.14$ | B1 | allow any other symbol except $\bar{x}$ or $\bar{X}$, as long as it is correctly defined; allow hypotheses stated in words |
| their $\mu$ is the **population mean mass** of this variety of apple | B1 | allow weight; correct definition of $\mu$ may be embedded in hypotheses written out as a sentence; do not allow $\bar{x}$ or $\bar{X}$ |

---

## Question 13(b):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $[\bar{X} \sim\,] N\left(0.14, \frac{0.0199^2}{80}\right)$ | B1 | Normal distribution with correct mean or variance; allow variance = **awrt** $4.95 \times 10^{-6}$ or **awrt** $0.00222^2$ |
| | B1 | all correct, but allow full credit if no symbol used; allow symbol other than $\bar{X}$ if correctly defined as sample mean, but do not allow $\mu$ |

---

## Question 13(c):

| Answer | Marks | Guidance |
|--------|-------|----------|
| **awrt** $0.136$ seen **BC** | B1 | |
| $\bar{X} < 0.136$ only or $\bar{X} \leq 0.136$ only | B1 | **FT** other correctly defined symbol |

---

## Question 13(d):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $0.1316 < 0.136$ or $0.1316$ is in the critical region (must be correct critical region) oe or $p =$ awrt $0.00008 < 0.05$ oe; **NB** $0.0000799$ or $z =$ awrt $-3.78 < -1.645$ oe | M1 | condone $p =$ awrt $0.00007 < 0.05$ oe **NB** $0.0000740$; or $z =$ awrt $-3.79 < -1.645$ oe from use of $\bar{X} \sim N\left(0.14, \frac{0.0198^2}{80}\right)$ |
| reject $H_0$ | A1 | allow accept $H_1$ or result is significant |
| there is sufficient evidence at the 5% level to **suggest** that the **mean** mass of the apples is **less than** $0.14$ kg | A1 | allow weight; do not allow eg conclude/prove/indicate or other assertive statement instead of suggest |

---
13 A large supermarket chain advertises that the mean mass of apples of a certain variety on sale in their stores is 0.14 kg .

Following a poor growing season, the head of quality control believes that the mean mass of these apples is less than 0.14 kg and she decides to carry out a hypothesis test at the $5 \%$ level of significance.

She collects a random sample of this variety of apple from the supermarket chain and records the mass, in kg, of each apple. She uses software to analyse the data. The results are summarised in the output below.

\begin{center}
\begin{tabular}{ | l | l | }
\hline
$n$ & 80 \\
\hline
Mean & 0.1316 \\
\hline
$\sigma$ & 0.0198 \\
\hline
$s$ & 0.0199 \\
\hline
$\Sigma x$ & 10.525 \\
\hline
$\Sigma x ^ { 2 }$ & 1.4161 \\
\hline
Min & 0.1 \\
\hline
Q1 & 0.12 \\
\hline
Median & 0.132 \\
\hline
Q3 & 0.1435 \\
\hline
Max & 0.19 \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\alph*)]
\item State the null hypothesis and the alternative hypothesis for the test, defining the parameter used.
\item Write down the distribution of the sample mean for this hypothesis test.
\item Determine the critical region for the test.
\item Carry out the test, giving your conclusion in context.
\end{enumerate}

\hfill \mbox{\textit{OCR MEI Paper 2 2023 Q13 [9]}}