CAIE Further Paper 4 2022 November — Question 3 8 marks

Exam BoardCAIE
ModuleFurther Paper 4 (Further Paper 4)
Year2022
SessionNovember
Marks8
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicT-tests (unknown variance)
TypeTwo-sample z-test large samples
DifficultyStandard +0.3 This is a standard two-sample t-test with summary statistics requiring calculation of sample means, variances, pooled variance, test statistic, and comparison with critical value. While it involves multiple computational steps (5-6 marks typical), it follows a completely routine procedure taught in Further Statistics with no conceptual challenges or novel insights required. Slightly easier than average due to its algorithmic nature.
Spec5.05c Hypothesis test: normal distribution for population mean

3 A scientist is investigating the masses of birds of a certain species in country \(X\) and country \(Y\). She takes a random sample of 50 birds of this species from country \(X\) and a random sample of 80 birds of this species from country \(Y\). She records their masses in \(\mathrm { kg } , x\) and \(y\), respectively. Her results are summarised as follows. $$\sum x = 75.5 \quad \sum x ^ { 2 } = 115.2 \quad \sum y = 116.8 \quad \sum y ^ { 2 } = 172.6$$ The population mean masses of these birds in countries \(X\) and \(Y\) are \(\mu _ { x } \mathrm {~kg}\) and \(\mu _ { y } \mathrm {~kg}\) respectively.
Test, at the \(5 \%\) significance level, the null hypothesis \(\mu _ { \mathrm { x } } = \mu _ { \mathrm { y } }\) against the alternative hypothesis \(\mu _ { \mathrm { x } } > \mu _ { \mathrm { y } }\). State your conclusion in the context of the question.

Question 3:
AnswerMarks Guidance
AnswerMarks Guidance
\(s_x^2 = \frac{1}{49}\left(115.2 - \frac{75.5^2}{50}\right) = 0.02439\)M1 \(\frac{239}{9800}\), \(\frac{259}{9875}\)
\(s_y^2 = \frac{1}{79}\left(172.6 - \frac{116.8^2}{80}\right) = 0.02623\)
A1Both correct
\(s^2 = \frac{0.02439}{50} + \frac{0.02623}{80}\ [= 0.00081565]\)M1 A1 May be implied by 1.75 for \(z\)
\(z = \dfrac{\frac{75.5}{50} - \frac{116.8}{80}}{s}\)M1
1.75A1
Compare with 1.645: \(1.75 > 1.645\); Reject null hypothesisM1 Using areas, \(0.04 < 0.05\)
Sufficient evidence to suggest that population mean in country \(X\) is greater than population mean in country \(Y\)A1 Correct conclusion in context, following correct work, level of uncertainty in language. 'Prove' gives A0
8Pooled variance: \(z = 1.74\); M1A1 M0A0M0A0 M1A0 max 3/8
## Question 3:

| Answer | Marks | Guidance |
|--------|-------|----------|
| $s_x^2 = \frac{1}{49}\left(115.2 - \frac{75.5^2}{50}\right) = 0.02439$ | M1 | $\frac{239}{9800}$, $\frac{259}{9875}$ |
| $s_y^2 = \frac{1}{79}\left(172.6 - \frac{116.8^2}{80}\right) = 0.02623$ | | |
| | A1 | Both correct |
| $s^2 = \frac{0.02439}{50} + \frac{0.02623}{80}\ [= 0.00081565]$ | M1 A1 | May be implied by 1.75 for $z$ |
| $z = \dfrac{\frac{75.5}{50} - \frac{116.8}{80}}{s}$ | M1 | |
| 1.75 | A1 | |
| Compare with 1.645: $1.75 > 1.645$; Reject null hypothesis | M1 | Using areas, $0.04 < 0.05$ |
| Sufficient evidence to suggest that population mean in country $X$ is greater than population mean in country $Y$ | A1 | Correct conclusion in context, following correct work, level of uncertainty in language. 'Prove' gives A0 |
| | **8** | Pooled variance: $z = 1.74$; M1A1 M0A0M0A0 M1A0 max 3/8 |

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3 A scientist is investigating the masses of birds of a certain species in country $X$ and country $Y$. She takes a random sample of 50 birds of this species from country $X$ and a random sample of 80 birds of this species from country $Y$. She records their masses in $\mathrm { kg } , x$ and $y$, respectively. Her results are summarised as follows.

$$\sum x = 75.5 \quad \sum x ^ { 2 } = 115.2 \quad \sum y = 116.8 \quad \sum y ^ { 2 } = 172.6$$

The population mean masses of these birds in countries $X$ and $Y$ are $\mu _ { x } \mathrm {~kg}$ and $\mu _ { y } \mathrm {~kg}$ respectively.\\
Test, at the $5 \%$ significance level, the null hypothesis $\mu _ { \mathrm { x } } = \mu _ { \mathrm { y } }$ against the alternative hypothesis $\mu _ { \mathrm { x } } > \mu _ { \mathrm { y } }$. State your conclusion in the context of the question.\\

\hfill \mbox{\textit{CAIE Further Paper 4 2022 Q3 [8]}}