| Exam Board | OCR MEI |
|---|---|
| Module | Paper 2 (Paper 2) |
| Year | 2019 |
| Session | June |
| Marks | 16 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Type I/II errors and power of test |
| Type | Carry out hypothesis test |
| Difficulty | Moderate -0.3 This is a straightforward hypothesis testing question requiring standard techniques: finding parameters from percentiles (parts a-b), conducting a goodness-of-fit check (part c), and performing a one-sample z-test (part d). Part (e) asks for basic assumptions/adaptations. All steps are routine A-level Further Maths Statistics procedures with no novel problem-solving required, making it slightly easier than average. |
| Spec | 2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation2.05e Hypothesis test for normal mean: known variance |
| Answer | Marks |
|---|---|
| \([=]153\) | B1 [1] |
| Answer | Marks | Guidance |
|---|---|---|
| \(z = \pm1.645\) used | B1 | Or \(\pm1.644(85\ldots)\) |
| Their positive \(1.645 = \frac{183 - their\ 153}{\sigma}\) oe \((= 18.237\ldots \text{ to } 18.248\ldots)\) | M1 | M0 if continuity correction used |
| \(\sigma = 18.2\) cao | A1 [3] |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(\frac{16}{452} = 0.035(398...)\) | B1 (3.1b) | Allow percentage; or B1 as main scheme then Invnorm(0.0353, their 153, their 18.2) for M1; NB 119.95 to 120.15 which is close to 120 oe for A1 |
| Their \(P(X < 120)\) from \(N(\text{their } 153, \text{their } 18.2^2)\) | M1 (1.1) | M0 if continuity correction used |
| Probability of 0.0349 to 0.0352 which agrees to 2 sf | A1 (2.2b) | Allow percentage |
| Or: B1 for their \(P(X < 120)\) then M1 for \(452 \times \text{their } 0.03490\), then A1 for 15.77 to 15.91 which is close to 16 oe | ||
| Or: B1 as main scheme then M1 for \(\sigma = \frac{120-153}{\text{their}-1.809}\) and \(18.3 \approx 18.2\) for A1 | or \(z = \frac{120 - \text{their }153}{\text{their }18.2}\) for M1; NB \(-1.809\) to \(-1.813\); Invnorm(0.0353, 0, 1) to obtain \(-1.806\) to \(-1.812\) which is close to \(-1.809\) to \(-1.813\) for A1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(H_0: \mu = \text{their } 153\); \(H_1: \mu < \text{their } 153\) | B1 (1.1) | For both hypotheses; may be stated in words, but need to see 153 for B1 and population mean for 2nd B1; B0 if other parameter used unless clearly defined as population mean |
| \(\mu\) is the population mean flight time from Magaluf to Liverpool | B1 (2.5) | |
| Use of \(N\!\left(\text{their }153,\ \frac{\text{their }18.2^2}{24}\right)\) to find \(P(\bar{X} < 143.6)\) | M1* (3.3) | Or inv Norm\((0.01, \text{their }153, \frac{\text{their }18.2^2}{24})\); or \(z = \frac{143.6 - \text{their }153}{\text{their }\frac{18.2}{\sqrt{24}}}\) |
| awrt 0.0057 to 0.0058… to 2 or more sf oe isw | A1 (1.1) | \(\bar{X} < 144\) to 144.4 is critical region; \(z = -2.5248..\) to \(-2.5302...\) to 2 or more dp |
| Their 0.0057 correctly compared with 0.01 oe | M1dep* (3.4) | 143.6 correctly compared with their 144.36; FT their comparison; their \(z\) compared with \(-2.326\) or \(-2.33\) |
| Result is significant or reject \(H_0\) or accept \(H_1\) | A1 (1.1) | FT their comparison |
| There is sufficient evidence to suggest at the 1% level that the mean flight time from Magaluf to Liverpool is less than 153 / mean flight time from Liverpool to Magaluf | A1 (2.2b) | Do not allow e.g. conclude / prove / indicate or other assertive statement instead of suggest |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| Reduce the value of \(\mu\) | B1 (3.5c) | e.g. take a bigger sample is insufficient |
| Increase the value of \(\sigma\) or \(\sigma^2\) | B1 (3.5c) | Allow B1 for e.g. use new sample data to calculate new estimate for \(\sigma\) or \(\sigma^2\) |
## Question 10:
### Part (a):
$[=]153$ | **B1 [1]** |
### Part (b):
$z = \pm1.645$ used | **B1** | Or $\pm1.644(85\ldots)$
Their positive $1.645 = \frac{183 - their\ 153}{\sigma}$ oe $(= 18.237\ldots \text{ to } 18.248\ldots)$ | **M1** | **M0** if continuity correction used
$\sigma = 18.2$ cao | **A1 [3]** |
## Question 10(c):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $\frac{16}{452} = 0.035(398...)$ | B1 (3.1b) | Allow percentage; or B1 as main scheme then Invnorm(0.0353, their 153, their 18.2) for M1; NB 119.95 to 120.15 which is close to 120 oe for A1 |
| Their $P(X < 120)$ from $N(\text{their } 153, \text{their } 18.2^2)$ | M1 (1.1) | M0 if continuity correction used |
| Probability of 0.0349 to 0.0352 which agrees to 2 sf | A1 (2.2b) | Allow percentage |
| **Or:** B1 for their $P(X < 120)$ then M1 for $452 \times \text{their } 0.03490$, then A1 for 15.77 to 15.91 which is close to 16 oe | | |
| **Or:** B1 as main scheme then M1 for $\sigma = \frac{120-153}{\text{their}-1.809}$ and $18.3 \approx 18.2$ for A1 | | or $z = \frac{120 - \text{their }153}{\text{their }18.2}$ for M1; NB $-1.809$ to $-1.813$; Invnorm(0.0353, 0, 1) to obtain $-1.806$ to $-1.812$ which is close to $-1.809$ to $-1.813$ for A1 |
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## Question 10(d):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $H_0: \mu = \text{their } 153$; $H_1: \mu < \text{their } 153$ | B1 (1.1) | For both hypotheses; may be stated in words, but need to see 153 for B1 and population mean for 2nd B1; B0 if other parameter used unless clearly defined as population mean |
| $\mu$ is the **population mean** flight time from **Magaluf to Liverpool** | B1 (2.5) | |
| Use of $N\!\left(\text{their }153,\ \frac{\text{their }18.2^2}{24}\right)$ to find $P(\bar{X} < 143.6)$ | M1* (3.3) | Or inv Norm$(0.01, \text{their }153, \frac{\text{their }18.2^2}{24})$; or $z = \frac{143.6 - \text{their }153}{\text{their }\frac{18.2}{\sqrt{24}}}$ |
| awrt 0.0057 to 0.0058… to 2 or more sf oe **isw** | A1 (1.1) | $\bar{X} < 144$ to 144.4 is critical region; $z = -2.5248..$ to $-2.5302...$ to 2 or more dp |
| Their 0.0057 correctly compared with 0.01 oe | M1dep* (3.4) | 143.6 correctly compared with their 144.36; FT their comparison; their $z$ compared with $-2.326$ or $-2.33$ |
| Result is significant or reject $H_0$ or accept $H_1$ | A1 (1.1) | FT their comparison |
| There is sufficient evidence to **suggest** at the 1% level that the **mean** flight time from **Magaluf to Liverpool** is less than **153** / mean flight time from Liverpool to Magaluf | A1 (2.2b) | Do not allow e.g. conclude / prove / indicate or other assertive statement instead of suggest |
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## Question 10(e):
| Answer | Marks | Guidance |
|--------|-------|----------|
| **Reduce** the value of $\mu$ | B1 (3.5c) | e.g. take a bigger sample is insufficient |
| **Increase** the value of $\sigma$ or $\sigma^2$ | B1 (3.5c) | Allow B1 for e.g. use new sample data to calculate new estimate for $\sigma$ or $\sigma^2$ |
---
10 Club 65-80 Holidays fly jets between Liverpool and Magaluf. Over a long period of time records show that half of the flights from Liverpool to Magaluf take less than 153 minutes and $5 \%$ of the flights take more than 183 minutes.
An operations manager believes that flight times from Liverpool to Magaluf may be modelled by the Normal distribution.
\begin{enumerate}[label=(\alph*)]
\item Use the information above to write down the mean time the operations manager will use in his Normal model for flight times from Liverpool to Magaluf.
\item Use the information above to find the standard deviation the operations manager will use in his Normal model for flight times from Liverpool to Magaluf, giving your answer correct to 1 decimal place.
\item Data is available for 452 flights. A flight time of under 2 hours was recorded in 16 of these flights. Use your answers to parts (a) and (b) to determine whether the model is consistent with this data.
The operations manager suspects that the mean time for the journey from Magaluf to Liverpool is less than from Liverpool to Magaluf. He collects a random sample of 24 flight times from Magaluf to Liverpool. He finds that the mean flight time is 143.6 minutes.
\item Use the Normal model used in part (c) to conduct a hypothesis test to determine whether there is evidence at the $1 \%$ level to suggest that the mean flight time from Magaluf to Liverpool is less than the mean flight time from Liverpool to Magaluf.\\[0pt]
\item Identify two ways in which the Normal model for flight times from Liverpool to Magaluf might be adapted to provide a better model for the flight times from Magaluf to Liverpool. [2]
\end{enumerate}
\hfill \mbox{\textit{OCR MEI Paper 2 2019 Q10 [16]}}