CAIE S2 2024 November — Question 5 6 marks

Exam BoardCAIE
ModuleS2 (Statistics 2)
Year2024
SessionNovember
Marks6
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicZ-tests (known variance)
TypeTwo-tail z-test
DifficultyModerate -0.3 This is a straightforward application of a z-test with known variance following a standard template: identify test type, calculate sample mean, compute z-statistic, compare to critical value, and conclude. All steps are routine with no conceptual challenges beyond basic hypothesis testing procedure. The only minor complexity is the two-tailed test requiring ±2.576 critical values, but this is standard S2 content.
Spec2.05e Hypothesis test for normal mean: known variance5.05c Hypothesis test: normal distribution for population mean

The lengths, in centimetres, of worms of a certain kind are normally distributed with mean \(\mu\) and standard deviation \(2.3\). An article in a magazine states that the value of \(\mu\) is \(12.7\). A scientist wishes to test whether this value is correct. He measures the lengths, \(x\) cm, of a random sample of \(50\) worms of this kind and finds that \(\sum x = 597.1\). He plans to carry out a test, at the \(1\%\) significance level, of whether the true value of \(\mu\) is different from \(12.7\).
  1. State, with a reason, whether he should use a one-tailed or a two-tailed test. [1]
  2. Carry out the test. [5]

Question 5:

AnswerMarks Guidance
5(a)Two-tailed because looking for difference B1
1
AnswerMarks Guidance
QuestionAnswer Marks

AnswerMarks Guidance
5(b)H : μ = 12.7 H : μ ≠ 12.7
0 1B1 No ft from part (a).
597.1−12.7
50
2.3
AnswerMarks
50M1
= −2.330
AnswerMarks Guidance
Accept – 2.336 or – 2.337A1 or 0.00989 or 0.0099.
or 0.0097 if area comparison used.
‘−2.330’ > −2.576 or ‘2.330’ < 2.576
or ‘0.00989’ > 0.005
AnswerMarks Guidance
or `0.0097` > 0.005M1 Accept 2.574 to 2.579.
Or use of CV.
12.7- 2.576 x ( 2.3 / sqrt 50 ) = 11.862 M1A1.
11.942 > 11.862 M1A1.
[Not reject H ] There is insufficient evidence to suggest that µ is
0
AnswerMarks Guidance
not 12.7A1 FT OE ft their z
calc.
In context, not definite, e.g. not ‘µ =12.7’.
No contradictions.
SC use of 1 tailed test can score B0M1A1M1 for comparison with
0.01 A0 max 3/5.
5
AnswerMarks Guidance
QuestionAnswer Marks
Question 5:
--- 5(a) ---
5(a) | Two-tailed because looking for difference | B1
1
Question | Answer | Marks | Guidance
--- 5(b) ---
5(b) | H : μ = 12.7 H : μ ≠ 12.7
0 1 | B1 | No ft from part (a).
597.1−12.7
50
2.3
50 | M1
= −2.330
Accept – 2.336 or – 2.337 | A1 | or 0.00989 or 0.0099.
or 0.0097 if area comparison used.
‘−2.330’ > −2.576 or ‘2.330’ < 2.576
or ‘0.00989’ > 0.005
or `0.0097` > 0.005 | M1 | Accept 2.574 to 2.579.
Or use of CV.
12.7- 2.576 x ( 2.3 / sqrt 50 ) = 11.862 M1A1.
11.942 > 11.862 M1A1.
[Not reject H ] There is insufficient evidence to suggest that µ is
0
not 12.7 | A1 FT | OE ft their z
calc.
In context, not definite, e.g. not ‘µ =12.7’.
No contradictions.
SC use of 1 tailed test can score B0M1A1M1 for comparison with
0.01 A0 max 3/5.
5
Question | Answer | Marks | Guidance
The lengths, in centimetres, of worms of a certain kind are normally distributed with mean $\mu$ and standard deviation $2.3$. An article in a magazine states that the value of $\mu$ is $12.7$. A scientist wishes to test whether this value is correct. He measures the lengths, $x$ cm, of a random sample of $50$ worms of this kind and finds that $\sum x = 597.1$. He plans to carry out a test, at the $1\%$ significance level, of whether the true value of $\mu$ is different from $12.7$.

\begin{enumerate}[label=(\alph*)]
\item State, with a reason, whether he should use a one-tailed or a two-tailed test. [1]

\item Carry out the test. [5]
\end{enumerate}

\hfill \mbox{\textit{CAIE S2 2024 Q5 [6]}}