OCR MEI S2 2014 June — Question 3 19 marks

Exam BoardOCR MEI
ModuleS2 (Statistics 2)
Year2014
SessionJune
Marks19
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicNormal Distribution
TypeRounded or discrete from continuous
DifficultyStandard +0.3 This is a standard S2 normal distribution question covering routine techniques: z-score calculations for probabilities, inverse normal for percentiles, continuity correction, and a one-sample z-test. All parts follow textbook procedures with no novel problem-solving required, making it slightly easier than average for A-level.
Spec2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation2.05e Hypothesis test for normal mean: known variance

3 The wing lengths of native English male blackbirds, measured in mm , are Normally distributed with mean 130.5 and variance 11.84.
  1. Find the probability that a randomly selected native English male blackbird has a wing length greater than 135 mm .
  2. Given that \(1 \%\) of native English male blackbirds have wing length more than \(k \mathrm {~mm}\), find the value of \(k\).
  3. Find the probability that a randomly selected native English male blackbird has a wing length which is 131 mm correct to the nearest millimetre. It is suspected that Scandinavian male blackbirds have, on average, longer wings than native English male blackbirds. A random sample of 20 Scandinavian male blackbirds has mean wing length 132.4 mm . You may assume that wing lengths in this population are Normally distributed with variance \(11.84 \mathrm {~mm} ^ { 2 }\).
  4. Carry out an appropriate hypothesis test, at the \(5 \%\) significance level.
  5. Discuss briefly one advantage and one disadvantage of using a \(10 \%\) significance level rather than a \(5 \%\) significance level in hypothesis testing in general.

Question 3(iii):
AnswerMarks Guidance
AnswerMarks Guidance
\(P(\text{Wing length} = 131) = P\left(\frac{130.5-130.5}{\sqrt{11.84}} \leq Z \leq \frac{131.5-130.5}{\sqrt{11.84}}\right)\)B1 For both limits correct, soi. e.g. use of 0.5 in probability calculation implies correct lower limit.
\(= P(0 < Z < 0.2906)\) \(= \Phi(0.2906) - \Phi(0)\) \(= 0.6143 - 0.5\)M1 For correct structure using their standardised values, i.e. finding the area between their z values found using \(\mu = 130.5\). Condone use of \(\sigma = 11.84\) if also used in part (i) or part (ii).
\(= 0.1143\)A1 CAO inc use of diff tables. Allow 0.1145. Allow 0.114 www.
[3]
Question 3(iv):
AnswerMarks Guidance
AnswerMarks Guidance
\(H_0: \mu = 130.5\) \(H_1: \mu > 130.5\)B1 For both correct. Hypotheses in words must refer to population. Do not allow other symbols unless clearly defined as population mean.
Where \(\mu\) denotes the mean wing length (in the population) (of Scandinavian male blackbirds).B1 For definition of \(\mu\) in context. Do not allow "sample mean wing length" or "mean wing length of English blackbirds".
Test statistic \(= \frac{132.4 - 130.5}{\sqrt{11.84}/\sqrt{20}} = \frac{1.90}{0.7694}\)M1* Must include \(\sqrt{20}\). Condone use of \(\sigma = 11.84\) if also used in part (i), part (ii) or part (iii). Condone numerator reversed for max M1*A0B1M0depA0A0 (max 4/8).
\(= 2.469\)A1 Allow 2.47.
Upper 5% level 1 tailed critical value of \(z = 1.645\)B1 For 1.645. Must be positive. B0 if \(-1.645\) seen. No further A marks from here if wrong.
\(2.469 > 1.645\)M1dep* For sensible comparison leading to a conclusion.
The result is significant. There is sufficient evidence to reject \(H_0\)A1 For correct conclusion. e.g. for "significant" oe. FT only candidate's test statistic if cv \(= 1.645\).
There is sufficient evidence to suggest that the mean wing length (of this population of birds) is greater (than 130.5mm).A1 For non-assertive conclusion in context, consistent with their result. Condone use of "average" for "mean". FT only candidate's test statistic if cv \(= 1.645\).
[8]
Question 3(v):
AnswerMarks Guidance
AnswerMarks Guidance
With a 10% significance level rather than a 5% significance level:
Advantage: One is less likely to accept the null hypothesis when it is false.E1 Accept equivalent wording.
Disadvantage: One is more likely to reject the null hypothesis when it is true.E1 Note – Unless stated otherwise, assume the first comment relates to an advantage and the second comment relates to a disadvantage.
[2]
## Question 3(iii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $P(\text{Wing length} = 131) = P\left(\frac{130.5-130.5}{\sqrt{11.84}} \leq Z \leq \frac{131.5-130.5}{\sqrt{11.84}}\right)$ | B1 | For both limits correct, soi. e.g. use of 0.5 in probability calculation implies correct lower limit. |
| $= P(0 < Z < 0.2906)$ $= \Phi(0.2906) - \Phi(0)$ $= 0.6143 - 0.5$ | M1 | For **correct structure** using their standardised values, i.e. finding the area between their z values found using $\mu = 130.5$. Condone use of $\sigma = 11.84$ if also used in part (i) or part (ii). |
| $= 0.1143$ | A1 | CAO inc use of diff tables. Allow 0.1145. Allow 0.114 www. |
| **[3]** | | |

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## Question 3(iv):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $H_0: \mu = 130.5$ $H_1: \mu > 130.5$ | B1 | For both correct. Hypotheses in words must refer to population. Do not allow other symbols unless clearly defined as population mean. |
| Where $\mu$ denotes the **mean wing length** (in the population) (of Scandinavian male blackbirds). | B1 | For definition of $\mu$ in context. Do not allow "sample mean wing length" or "mean wing length of English blackbirds". |
| Test statistic $= \frac{132.4 - 130.5}{\sqrt{11.84}/\sqrt{20}} = \frac{1.90}{0.7694}$ | M1* | Must include $\sqrt{20}$. Condone use of $\sigma = 11.84$ if also used in part (i), part (ii) or part (iii). Condone numerator reversed for max M1*A0B1M0depA0A0 (max 4/8). |
| $= 2.469$ | A1 | Allow 2.47. |
| Upper 5% level 1 tailed critical value of $z = 1.645$ | B1 | For 1.645. Must be positive. B0 if $-1.645$ seen. No further A marks from here if wrong. |
| $2.469 > 1.645$ | M1dep* | For sensible comparison leading to a conclusion. |
| The result is significant. There is sufficient evidence to reject $H_0$ | A1 | For correct conclusion. e.g. for "significant" oe. FT only candidate's test statistic if cv $= 1.645$. |
| There is sufficient evidence to **suggest** that the mean wing length (of this population of birds) is greater (than 130.5mm). | A1 | For **non-assertive** conclusion in context, consistent with their result. Condone use of "average" for "mean". FT only candidate's test statistic if cv $= 1.645$. |
| **[8]** | | |

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## Question 3(v):

| Answer | Marks | Guidance |
|--------|-------|----------|
| With a 10% significance level rather than a 5% significance level: | | |
| Advantage: One is less likely to accept the null hypothesis when it is false. | E1 | Accept equivalent wording. |
| Disadvantage: One is more likely to reject the null hypothesis when it is true. | E1 | Note – Unless stated otherwise, assume the first comment relates to an advantage and the second comment relates to a disadvantage. |
| **[2]** | | |

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3 The wing lengths of native English male blackbirds, measured in mm , are Normally distributed with mean 130.5 and variance 11.84.\\
(i) Find the probability that a randomly selected native English male blackbird has a wing length greater than 135 mm .\\
(ii) Given that $1 \%$ of native English male blackbirds have wing length more than $k \mathrm {~mm}$, find the value of $k$.\\
(iii) Find the probability that a randomly selected native English male blackbird has a wing length which is 131 mm correct to the nearest millimetre.

It is suspected that Scandinavian male blackbirds have, on average, longer wings than native English male blackbirds. A random sample of 20 Scandinavian male blackbirds has mean wing length 132.4 mm . You may assume that wing lengths in this population are Normally distributed with variance $11.84 \mathrm {~mm} ^ { 2 }$.\\
(iv) Carry out an appropriate hypothesis test, at the $5 \%$ significance level.\\
(v) Discuss briefly one advantage and one disadvantage of using a $10 \%$ significance level rather than a $5 \%$ significance level in hypothesis testing in general.

\hfill \mbox{\textit{OCR MEI S2 2014 Q3 [19]}}