OCR Further Statistics 2024 June — Question 3 11 marks

Exam BoardOCR
ModuleFurther Statistics (Further Statistics)
Year2024
SessionJune
Marks11
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicCentral limit theorem
TypeHypothesis test for mean
DifficultyStandard +0.3 This is a straightforward hypothesis test using the CLT with standard calculations (sample mean, variance, z-test) and a conceptual question about the CLT that tests understanding rather than computation. The CLT application is routine for Further Maths students, and part (b) requires only recognizing that the CLT concerns the sampling distribution of the mean, not the original distribution—a common textbook clarification.
Spec5.05c Hypothesis test: normal distribution for population mean

3 Research suggests that the mean reading age of a child about to start secondary school is 10.75 . The reading ages, \(X\) years, of a random sample of 80 children who were about to start secondary school in a particular district were measured, and the results are summarised as follows. $$\mathrm { n } = 80 \quad \sum \mathrm { x } = 893 \quad \sum \mathrm { x } ^ { 2 } = 10267$$
  1. Test at the \(5 \%\) significance level whether the mean reading age of children about to start secondary school in this district is not 10.75 .
  2. A student wrote: "Although we do not know that the distribution of \(X\) is normal, the central limit theorem allows us to assume that it is, as the sample size is large." This statement is incorrect. Give a corrected version of the student's statement.

Question 3:
AnswerMarks Guidance
3(a) H :  = 10.75, H :   10.75, where  is the
0 1
population mean reading age in the district
Or: H : The mean reading age is 10.75, H : The
0 1
mean reading age is not 10.75
x = 1 1 .1 6 ( 2 5 )
AnswerMarks
ˆ 2  = 3.78(3386) or ˆ = 1.945B2
B1
AnswerMarks
B21.1
2.5
1.1
1.1
AnswerMarks
1.1Allow μ defined in terms of population or context.
SC: One error, e.g.  not defined (at all), or one-tailed, B1, but
x or 11.16(25) used in hypotheses: B0
Stated or implied, allow 11.2 or better
Allow B1 for 3.736 or 3.74… or 1.93(28…). Can be implied.
B1B0 can be implied by p = 0.0281 or z = 1.91.
Second B1 can be allowed if multiplier 80/79 seen anywhere.
(1 1 .1 6 2 5 − 1 0 .7 5 )
z =
3 .7 8 3 3 8 6 / 8 0
p = 0.0289 or p = 0.05785 (if 0.05 used)
or z = 1.897
AnswerMarks
z < 1.96 or p > 0.025 or 0.05 as appropriateM1
A1
AnswerMarks
B13.3
3.4
AnswerMarks
1.1Evidence of standardisation using 80, e.g. p = 0.0281, allow
square root errors only if algebraic evidence seen, allow signs
reversed. Not N(11.1625, …) stated (but can get last M1A1)
Awrt 0.029. Or p = 0.03075 from t , or 0.0615 if compared with
79
0.05. (Biased estimate gives p = 0.0281, z = 1.91: M1A0
here.)
If continuity correction used, can get M1A0 and final M1A1.
0.025 or 0.05 or 1.96 used for like-with-like comparison
AnswerMarks Guidance
or:10.75 + z√(3.783/80) M1
errors, their s (warning: ˆ 1 .9 4 5  = is very close to 1.96)
AnswerMarks Guidance
z = 1.96B1 Stated or implied, allow from wrong tail
11.16 < 11.17611.16 < 11.176 A1ft
SC: CV 11.16 – 1.96√(3.783/80) < 10.75, M0B1A0, M1A1
Do not reject H . There is insufficient evidence
0
that the mean reading age is not 10.75 in this
AnswerMarks
districtM1ft
A1ft
AnswerMarks
[10]1.1
2.2bFT on their z, needs 80 used, needs like-with-like comparison,
allow from comparing ½p with 0.05
Contextualised, not over-assertive, needs double negative oe
AnswerMarks
(b)The central limit theorem allows assumption that
the distribution of the sample mean is
AnswerMarks Guidance
(approximately) normal.B1
[1]1.2 Must refer to sample mean [not “it”, or just “sample”] or
X or x, or “distribution of means” oe.
AnswerMarks Guidance
Their hypothesesComments Mark
H :  = 10.75, H :   10.75, where μ is the population mean reading age
AnswerMarks Guidance
0 1Correct B2
H :  = 10.75, H:   10.75, where μ is the mean reading age
AnswerMarks Guidance
0 iOK: μ defined in context B2
H :  = 10.75, H:   10.75, where μ is the population mean
AnswerMarks Guidance
0 iOK: μ defined using “population” B2
H :  = 10.75, H :   10.75, where μ is the mean
AnswerMarks Guidance
0 1μ not defined in context or “population” B1
H :  = 10.75, H :  > 10.75
AnswerMarks Guidance
0 1Two errors: one-tailed, μ not defined (at all) B0
H : The mean reading age is 10.75, H : The mean reading age is not 10.75
AnswerMarks Guidance
0 1OK B2
H : The average reading age is 10.75. H : The average reading age is not 10.75
AnswerMarks Guidance
0 1Not “mean” B1
H : There is no change in the mean reading age, H : there is change
AnswerMarks Guidance
0 1As in MS B1
H : There is no evidence that the mean reading age is not 10.75, etc
AnswerMarks Guidance
0“evidence” does not belong in hypotheses B1
Their calculationComments Mark
z = 1.90 or p = 0.0289Correct Full marks
p = 0.0578(5) > 0.05Correct Full marks if compared with 0.05
z = 1.91 or p = 0.0281Biased σ used (Preceding B1 not B2) then M1A0
p = 0.0563 > 0.05Biased σ used (Preceding B1 not B2) then M1A0 if
compared with 0.05Yes
z = 0.2134 or 0.212, or
AnswerMarks Guidance
p = 0.4155 or 0.416Divisor 80 omitted M0A0
Other values of z or pM0A0 unless they show evidence of using σ/√80 or σ2/√80
or σ2/80 or σ/80, in which case they can get M1A0No unless evidence as in previous
column, in which case yes
CV 10.75 – 1.96×0.217
AnswerMarks Guidance
11.16 > 10.32Wrong tail of
10.75  z√(s2/80)M0 B1 A0 No
10.75 + 1.645×0.217
AnswerMarks Guidance
11.16 > 11.111.645 wrong M1 B0 A1 (ft on 1.645)
(Conclusion reversed: Reject H , etc.)
0
11.1625 – 1.96×0.217
AnswerMarks Guidance
10.737 < 10.75Centred on 11.1625
and not 10.75M0B1A0 Yes
Their comparisonComments Mark
1.91 < 1.96Correct comparison, wrong z B1
0.0579 > 0.05Correct B1
0.0281 > 0.025Correct comparison, wrong p B1
0.0289 < 0.05Wrong B0
0.9711 < 0.975Correct B1
0.0289 < 0.975Wrong tail B0
0.0579 < 1.96Not like-with-like B0
Their conclusionComments Mark
Accept H . There is insufficient evidence that reading age is not 10.75
AnswerMarks
0Correct, allow “accept H ”.
0M1A1
There is insufficient evidence to reject H . The reading age is 10.75
AnswerMarks Guidance
0BOD M1A1
Accept H . There is insufficient evidence that reading age has changed
AnswerMarks Guidance
0BOD M1A1
There is insufficient evidence that the average is not 10.75No context. Condone omission of “do not reject H ”
0M1A0
Do not reject H . There is significant evidence that the mean age is 10.75
AnswerMarks Guidance
0Wrong M1A0
Do not reject H . The mean reading age is 10.75 in this district
AnswerMarks Guidance
0Too assertive M1A0
QuestionAnswer Marks
Question 3:
3 | (a) | H :  = 10.75, H :   10.75, where  is the
0 1
population mean reading age in the district
Or: H : The mean reading age is 10.75, H : The
0 1
mean reading age is not 10.75
x = 1 1 .1 6 ( 2 5 )
ˆ 2  = 3.78(3386) or ˆ = 1.945 | B2
B1
B2 | 1.1
2.5
1.1
1.1
1.1 | Allow μ defined in terms of population or context.
SC: One error, e.g.  not defined (at all), or one-tailed, B1, but
x or 11.16(25) used in hypotheses: B0
Stated or implied, allow 11.2 or better
Allow B1 for 3.736 or 3.74… or 1.93(28…). Can be implied.
B1B0 can be implied by p = 0.0281 or z = 1.91.
Second B1 can be allowed if multiplier 80/79 seen anywhere.
(1 1 .1 6 2 5 − 1 0 .7 5 )
z =
3 .7 8 3 3 8 6 / 8 0
p = 0.0289 or p = 0.05785 (if 0.05 used)
or z = 1.897
z < 1.96 or p > 0.025 or 0.05 as appropriate | M1
A1
B1 | 3.3
3.4
1.1 | Evidence of standardisation using 80, e.g. p = 0.0281, allow
square root errors only if algebraic evidence seen, allow signs
reversed. Not N(11.1625, …) stated (but can get last M1A1)
Awrt 0.029. Or p = 0.03075 from t , or 0.0615 if compared with
79
0.05. (Biased estimate gives p = 0.0281, z = 1.91: M1A0
here.)
If continuity correction used, can get M1A0 and final M1A1.
0.025 or 0.05 or 1.96 used for like-with-like comparison
or: | 10.75 + z√(3.783/80) | M1 | Recognisable z and 80 used, ignore LH CV (= 10.323), allow √
errors, their s (warning: ˆ 1 .9 4 5  = is very close to 1.96)
z = 1.96 | B1 | Stated or implied, allow from wrong tail
11.16 < 11.176 | 11.16 < 11.176 | A1ft | A1ft | FT on their z, e.g. 11.105 from z = 1.645 (conclusion reverses)
SC: CV 11.16 – 1.96√(3.783/80) < 10.75, M0B1A0, M1A1
Do not reject H . There is insufficient evidence
0
that the mean reading age is not 10.75 in this
district | M1ft
A1ft
[10] | 1.1
2.2b | FT on their z, needs 80 used, needs like-with-like comparison,
allow from comparing ½p with 0.05
Contextualised, not over-assertive, needs double negative oe
(b) | The central limit theorem allows assumption that
the distribution of the sample mean is
(approximately) normal. | B1
[1] | 1.2 | Must refer to sample mean [not “it”, or just “sample”] or
X or x, or “distribution of means” oe.
Their hypotheses | Comments | Mark
H :  = 10.75, H :   10.75, where μ is the population mean reading age
0 1 | Correct | B2
H :  = 10.75, H:   10.75, where μ is the mean reading age
0 i | OK: μ defined in context | B2
H :  = 10.75, H:   10.75, where μ is the population mean
0 i | OK: μ defined using “population” | B2
H :  = 10.75, H :   10.75, where μ is the mean
0 1 | μ not defined in context or “population” | B1
H :  = 10.75, H :  > 10.75
0 1 | Two errors: one-tailed, μ not defined (at all) | B0
H : The mean reading age is 10.75, H : The mean reading age is not 10.75
0 1 | OK | B2
H : The average reading age is 10.75. H : The average reading age is not 10.75
0 1 | Not “mean” | B1
H : There is no change in the mean reading age, H : there is change
0 1 | As in MS | B1
H : There is no evidence that the mean reading age is not 10.75, etc
0 | “evidence” does not belong in hypotheses | B1
Their calculation | Comments | Mark | Can get last M1A1?
z = 1.90 or p = 0.0289 | Correct | Full marks | Yes
p = 0.0578(5) > 0.05 | Correct | Full marks if compared with 0.05 | Yes
z = 1.91 or p = 0.0281 | Biased σ used | (Preceding B1 not B2) then M1A0 | Yes
p = 0.0563 > 0.05 | Biased σ used | (Preceding B1 not B2) then M1A0 if
compared with 0.05 | Yes
z = 0.2134 or 0.212, or
p = 0.4155 or 0.416 | Divisor 80 omitted | M0A0 | No
Other values of z or p | M0A0 unless they show evidence of using σ/√80 or σ2/√80
or σ2/80 or σ/80, in which case they can get M1A0 | No unless evidence as in previous
column, in which case yes
CV 10.75 – 1.96×0.217
11.16 > 10.32 | Wrong tail of
10.75  z√(s2/80) | M0 B1 A0 | No
10.75 + 1.645×0.217
11.16 > 11.11 | 1.645 wrong | M1 B0 A1 (ft on 1.645) | Yes
(Conclusion reversed: Reject H , etc.)
0
11.1625 – 1.96×0.217
10.737 < 10.75 | Centred on 11.1625
and not 10.75 | M0B1A0 | Yes
Their comparison | Comments | Mark | Can get last M1A1?
1.91 < 1.96 | Correct comparison, wrong z | B1 | Yes
0.0579 > 0.05 | Correct | B1 | Yes
0.0281 > 0.025 | Correct comparison, wrong p | B1 | Yes
0.0289 < 0.05 | Wrong | B0 | Yes, conclusion reverses
0.9711 < 0.975 | Correct | B1 | Yes
0.0289 < 0.975 | Wrong tail | B0 | No
0.0579 < 1.96 | Not like-with-like | B0 | No
Their conclusion | Comments | Mark
Accept H . There is insufficient evidence that reading age is not 10.75
0 | Correct, allow “accept H ”.
0 | M1A1
There is insufficient evidence to reject H . The reading age is 10.75
0 | BOD | M1A1
Accept H . There is insufficient evidence that reading age has changed
0 | BOD | M1A1
There is insufficient evidence that the average is not 10.75 | No context. Condone omission of “do not reject H ”
0 | M1A0
Do not reject H . There is significant evidence that the mean age is 10.75
0 | Wrong | M1A0
Do not reject H . The mean reading age is 10.75 in this district
0 | Too assertive | M1A0
Question | Answer | Marks | AO | Guidance
3 Research suggests that the mean reading age of a child about to start secondary school is 10.75 . The reading ages, $X$ years, of a random sample of 80 children who were about to start secondary school in a particular district were measured, and the results are summarised as follows.

$$\mathrm { n } = 80 \quad \sum \mathrm { x } = 893 \quad \sum \mathrm { x } ^ { 2 } = 10267$$
\begin{enumerate}[label=(\alph*)]
\item Test at the $5 \%$ significance level whether the mean reading age of children about to start secondary school in this district is not 10.75 .
\item A student wrote: "Although we do not know that the distribution of $X$ is normal, the central limit theorem allows us to assume that it is, as the sample size is large." This statement is incorrect. Give a corrected version of the student's statement.
\end{enumerate}

\hfill \mbox{\textit{OCR Further Statistics 2024 Q3 [11]}}