Standard +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.
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.
$$\mathrm { n } = 80 \quad \sum \mathrm { x } = 893 \quad \sum \mathrm { x } ^ { 2 } = 10267$$
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 .
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.
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
Answer
Marks
(b)
The central limit theorem allows assumption that
the distribution of the sample mean is
Answer
Marks
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.
Answer
Marks
Guidance
Their hypotheses
Comments
Mark
H : = 10.75, H : 10.75, where μ is the population mean reading age
Answer
Marks
Guidance
0 1
Correct
B2
H : = 10.75, H: 10.75, where μ is the mean reading age
Answer
Marks
Guidance
0 i
OK: μ defined in context
B2
H : = 10.75, H: 10.75, where μ is the population mean
Answer
Marks
Guidance
0 i
OK: μ defined using “population”
B2
H : = 10.75, H : 10.75, where μ is the mean
Answer
Marks
Guidance
0 1
μ not defined in context or “population”
B1
H : = 10.75, H : > 10.75
Answer
Marks
Guidance
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
Answer
Marks
Guidance
0 1
OK
B2
H : The average reading age is 10.75. H : The average reading age is not 10.75
Answer
Marks
Guidance
0 1
Not “mean”
B1
H : There is no change in the mean reading age, H : there is change
Answer
Marks
Guidance
0 1
As in MS
B1
H : There is no evidence that the mean reading age is not 10.75, etc
Answer
Marks
Guidance
0
“evidence” does not belong in hypotheses
B1
Their calculation
Comments
Mark
z = 1.90 or p = 0.0289
Correct
Full marks
p = 0.0578(5) > 0.05
Correct
Full marks if compared with 0.05
z = 1.91 or p = 0.0281
Biased σ used
(Preceding B1 not B2) then M1A0
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
Answer
Marks
Guidance
p = 0.4155 or 0.416
Divisor 80 omitted
M0A0
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
Answer
Marks
Guidance
11.16 > 10.32
Wrong tail of
10.75 z√(s2/80)
M0 B1 A0
No
10.75 + 1.645×0.217
Answer
Marks
Guidance
11.16 > 11.11
1.645 wrong
M1 B0 A1 (ft on 1.645)
(Conclusion reversed: Reject H , etc.)
0
11.1625 – 1.96×0.217
Answer
Marks
Guidance
10.737 < 10.75
Centred on 11.1625
and not 10.75
M0B1A0
Yes
Their comparison
Comments
Mark
1.91 < 1.96
Correct comparison, wrong z
B1
0.0579 > 0.05
Correct
B1
0.0281 > 0.025
Correct comparison, wrong p
B1
0.0289 < 0.05
Wrong
B0
0.9711 < 0.975
Correct
B1
0.0289 < 0.975
Wrong tail
B0
0.0579 < 1.96
Not like-with-like
B0
Their conclusion
Comments
Mark
Accept H . There is insufficient evidence that reading age is not 10.75
Answer
Marks
0
Correct, allow “accept H ”.
0
M1A1
There is insufficient evidence to reject H . The reading age is 10.75
Answer
Marks
Guidance
0
BOD
M1A1
Accept H . There is insufficient evidence that reading age has changed
Answer
Marks
Guidance
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
Answer
Marks
Guidance
0
Wrong
M1A0
Do not reject H . The mean reading age is 10.75 in this district
Answer
Marks
Guidance
0
Too assertive
M1A0
Question
Answer
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]}}