OCR MEI S2 2016 June — Question 4 20 marks

Exam BoardOCR MEI
ModuleS2 (Statistics 2)
Year2016
SessionJune
Marks20
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicChi-squared test of independence
TypeExpected frequencies partially provided
DifficultyModerate -0.3 This is a straightforward application of standard chi-squared test procedures with most calculations already provided (contributions given, just need to sum and compare to critical value), plus a routine one-tailed z-test. Both parts require only textbook methods with no problem-solving insight, making it slightly easier than average.
Spec5.05c Hypothesis test: normal distribution for population mean5.06a Chi-squared: contingency tables

4
  1. A random sample of 80 GCSE students was selected to take part in an investigation into whether attitudes to mathematics differ between girls and boys. The students were asked if they agreed with the statement 'Mathematics is one of my favourite subjects'. They were given three options 'Agree', 'Disagree', 'Neither agree nor disagree'. The results, classified according to sex, are summarised in the table below.
    AgreeDisagreeNeither
    Male17138
    Female121119
    The contributions to the test statistic for the usual \(\chi ^ { 2 }\) test are shown in the table below.
    AgreeDisagreeNeither
    Male0.75500.22461.8153
    Female0.68310.20321.6424
    1. Calculate the expected frequency for females who agree. Verify the corresponding contribution, 0.6831 , to the test statistic.
    2. Carry out the test at the \(5 \%\) level of significance.
  2. The level of radioactivity in limpets (a type of shellfish) in the sea near to a nuclear power station is regularly monitored. Over a period of years it has been found that the level (measured in suitable units) is Normally distributed with mean 5.64. Following an incident at the power station, a researcher suspects that the mean level of radioactivity in limpets may have increased. The researcher selects a random sample of 60 limpets. Their levels of radioactivity, \(x\) (measured in the same units), are summarised as follows. $$\sum x = 373 \quad \sum x ^ { 2 } = 2498$$ Carry out a test at the \(5 \%\) significance level to investigate the researcher's belief.

Question 4(a)(i):
AnswerMarks Guidance
AnswerMarks Guidance
Expected frequency \(= \frac{42}{80} \times 29 = 15.225\)B1 For 15.225
Contribution \(= \frac{(12-15.225)^2}{15.225}\)M1 For valid attempt at \(\frac{(O-E)^2}{E}\)
\(= 0.6831\) AGA1 [3] Leading to correct answer. NB Answer given
Question 4(a)(ii):
AnswerMarks Guidance
AnswerMarks Guidance
\(H_0\): no association between sex and attitude to Mathematics; \(H_1\): some association between sex and attitude to MathematicsB1 For correct hypotheses in context (with context seen in at least one hypothesis). NB if \(H_0\), \(H_1\) reversed do not award first B1 or final A1. Allow hypotheses expressed in terms of independence, and in context
Test statistic \(X^2 = 5.3236\)B1 Allow 5.324 or 5.32
Refer to \(\chi^2_2\)B1 Allow "2 degrees of freedom" or \(\nu = 2\) seen
Critical value at 5% level \(= 5.991\)B1 No further marks from here if wrong or omitted
\((5.3236 < 5.991\) so result is) not significantM1 For not significant oe. FT their test statistic. Allow 'Accept \(H_0\)' or 'Reject \(H_1\)'
There is insufficient evidence to suggest that there is association between sex and attitude to MathematicsA1 [6] For non-assertive conclusion in context. FT their test statistic. Do not allow "relationship" or "correlation" for "association"
Question 4(b):
AnswerMarks Guidance
AnswerMarks Guidance
\(\bar{x} = 373/60 = 6.217\)B1 Allow 6.22
\(s = \sqrt{\frac{2498-(373)^2/60}{59}} = \sqrt{\frac{179.183}{59}} = \sqrt{3.0370} = 1.743\)M1 For correctly structured calculation (divisor \(= 59\)) for the sample standard deviation or variance
A1Allow answers which round to 1.74
\(H_0: \mu = 5.64\); \(H_1: \mu > 5.64\) where \(\mu\) denotes the mean radioactivity level in (the population of) limpetsB1 For both hypotheses correct
B1For definition of \(\mu\) in context. Do not allow other symbols unless clearly defined as population mean
Test statistic \(= \frac{6.217-5.64}{1.743/\sqrt{60}} = \frac{0.5767}{0.2250} = 2.563\)M1* Structure of test statistic using their sd and mean. Must include correct use of \(\sqrt{60}\). Do not condone numerator reversed
\(= 2.563\)A1 Allow answers between 2.56 and 2.57 inclusive
Upper 5% level 1-tailed critical value of \(z = 1.645\)B1 For 1.645. No further marks from here if wrong
\(2.563 > 1.645\) The result is… significant. There is sufficient evidence to reject \(H_0\)depM1* For sensible comparison leading to a conclusion (even if incorrect). FT their test statistic
There is sufficient evidence to suggest that the mean level of radioactivity has increasedA1 A1 [11] Correct conclusion. FT their test statistic. For correct non-assertive conclusion in words in context
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## Question 4(a)(i):

| Answer | Marks | Guidance |
|--------|-------|----------|
| Expected frequency $= \frac{42}{80} \times 29 = 15.225$ | B1 | For 15.225 |
| Contribution $= \frac{(12-15.225)^2}{15.225}$ | M1 | For valid attempt at $\frac{(O-E)^2}{E}$ |
| $= 0.6831$ AG | A1 [3] | Leading to correct answer. **NB Answer given** |

## Question 4(a)(ii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $H_0$: no association between sex and attitude to Mathematics; $H_1$: some association between sex and attitude to Mathematics | B1 | For correct hypotheses in context (with context seen in at least one hypothesis). NB if $H_0$, $H_1$ reversed do not award first B1 or final A1. Allow hypotheses expressed in terms of independence, and in context |
| Test statistic $X^2 = 5.3236$ | B1 | Allow 5.324 or 5.32 |
| Refer to $\chi^2_2$ | B1 | Allow "2 degrees of freedom" or $\nu = 2$ seen |
| Critical value at 5% level $= 5.991$ | B1 | No further marks from here if wrong or omitted |
| $(5.3236 < 5.991$ so result is) not significant | M1 | For not significant oe. FT their test statistic. Allow 'Accept $H_0$' or 'Reject $H_1$' |
| There is insufficient evidence **to suggest** that there is association between sex and attitude to Mathematics | A1 [6] | For **non-assertive** conclusion in context. FT their test statistic. Do not allow "relationship" or "correlation" for "association" |

## Question 4(b):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $\bar{x} = 373/60 = 6.217$ | B1 | Allow 6.22 |
| $s = \sqrt{\frac{2498-(373)^2/60}{59}} = \sqrt{\frac{179.183}{59}} = \sqrt{3.0370} = 1.743$ | M1 | For correctly structured calculation (divisor $= 59$) for the sample standard deviation or variance |
| | A1 | Allow answers which round to 1.74 |
| $H_0: \mu = 5.64$; $H_1: \mu > 5.64$ where $\mu$ denotes the **mean** radioactivity level in (the population of) limpets | B1 | For both hypotheses correct |
| | B1 | For definition of $\mu$ in context. Do not allow other symbols unless clearly defined as population mean |
| Test statistic $= \frac{6.217-5.64}{1.743/\sqrt{60}} = \frac{0.5767}{0.2250} = 2.563$ | M1* | Structure of test statistic using their sd and mean. Must include correct use of $\sqrt{60}$. Do not condone numerator reversed |
| $= 2.563$ | A1 | Allow answers between 2.56 and 2.57 inclusive |
| Upper 5% level 1-tailed critical value of $z = 1.645$ | B1 | For 1.645. No further marks from here if wrong |
| $2.563 > 1.645$ The result is… significant. There is sufficient evidence to reject $H_0$ | depM1* | For sensible comparison leading to a conclusion (even if incorrect). FT their test statistic |
| There is sufficient evidence **to suggest** that the **mean** level of radioactivity has increased | A1 A1 [11] | Correct conclusion. FT their test statistic. For correct **non-assertive** conclusion in words in context |

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4
\begin{enumerate}[label=(\alph*)]
\item A random sample of 80 GCSE students was selected to take part in an investigation into whether attitudes to mathematics differ between girls and boys. The students were asked if they agreed with the statement 'Mathematics is one of my favourite subjects'. They were given three options 'Agree', 'Disagree', 'Neither agree nor disagree'. The results, classified according to sex, are summarised in the table below.

\begin{center}
\begin{tabular}{ | l | c | c | c | }
\hline
 & Agree & Disagree & Neither \\
\hline
Male & 17 & 13 & 8 \\
\hline
Female & 12 & 11 & 19 \\
\hline
\end{tabular}
\end{center}

The contributions to the test statistic for the usual $\chi ^ { 2 }$ test are shown in the table below.

\begin{center}
\begin{tabular}{ | l | c | c | c | }
\hline
 & Agree & Disagree & Neither \\
\hline
Male & 0.7550 & 0.2246 & 1.8153 \\
\hline
Female & 0.6831 & 0.2032 & 1.6424 \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\roman*)]
\item Calculate the expected frequency for females who agree. Verify the corresponding contribution, 0.6831 , to the test statistic.
\item Carry out the test at the $5 \%$ level of significance.
\end{enumerate}\item The level of radioactivity in limpets (a type of shellfish) in the sea near to a nuclear power station is regularly monitored. Over a period of years it has been found that the level (measured in suitable units) is Normally distributed with mean 5.64. Following an incident at the power station, a researcher suspects that the mean level of radioactivity in limpets may have increased. The researcher selects a random sample of 60 limpets. Their levels of radioactivity, $x$ (measured in the same units), are summarised as follows.

$$\sum x = 373 \quad \sum x ^ { 2 } = 2498$$

Carry out a test at the $5 \%$ significance level to investigate the researcher's belief.
\end{enumerate}

\hfill \mbox{\textit{OCR MEI S2 2016 Q4 [20]}}