CAIE Further Paper 4 2023 November — Question 1 6 marks

Exam BoardCAIE
ModuleFurther Paper 4 (Further Paper 4)
Year2023
SessionNovember
Marks6
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear combinations of normal random variables
TypeStandard CI with summary statistics
DifficultyStandard +0.3 This is a standard two-sample confidence interval calculation with all summary statistics provided. Students must calculate sample means and variances from the given sums, then apply the formula for difference of means CI. While it involves multiple steps and careful arithmetic, it requires only direct application of a standard Further Statistics technique with no conceptual challenges or novel problem-solving.
Spec5.05d Confidence intervals: using normal distribution

1 A factory produces small bottles of natural spring water. Two different machines, \(X\) and \(Y\), are used to fill empty bottles with the water. A quality control engineer checks the volumes of water in the bottles filled by each of the machines. He chooses a random sample of 60 bottles filled by machine \(X\) and a random sample of 75 bottles filled by machine \(Y\). The volumes of water, \(x\) and \(y\) respectively, in millilitres, are summarised as follows. $$\sum x = 6345 \quad \sum ( x - \bar { x } ) ^ { 2 } = 243.8 \quad \sum y = 7614 \quad \sum ( y - \bar { y } ) ^ { 2 } = 384.9$$ \(\bar { x }\) and \(\bar { y }\) are the sample means of the volume of water in the bottles filled by machines \(X\) and \(Y\) respectively. Find a \(95 \%\) confidence interval for the difference between the mean volume of water in bottles filled by machine \(X\) and the mean volume of water in bottles filled by machine \(Y\).

Question 1:
AnswerMarks Guidance
AnswerMarks Guidance
\(s_x^2 = \frac{243.8}{59} \left[= \frac{1219}{295} = 4.132\right]\), \(s_y^2 = \frac{384.9}{74} \left[= \frac{3849}{740} = 5.201\right]\)B1 Implied by correct \(s\) or pooled estimate \(\frac{243.8 + 384.9}{60 + 75 - 2} = 4.727\)
\(s^2 = \frac{4.132}{60} + \frac{5.201}{75} \left[= 0.1382\right]\) or \(s = 0.3718\)M1 Using their sample variances. Pooled estimate M0.
A1
CI: \(\frac{6345}{60} - \frac{7614}{75} \pm 1.96 \times \text{'}0.3718\text{'}\)M1 With a \(z\)-value
A1With 1.96 (with their \(s\)). Pooled: \(\frac{6345}{60} - \frac{7614}{75} \pm 1.96 \times 2.174\sqrt{\frac{1}{60} + \frac{1}{75}}\)
\(\left[3.5[0], 4.96\right]\) or \((3.5, 4.96)\)A1 \(4.23 \pm 0.729\) is A0, condone \([4.96, 3.5]\) etc.
Total: 6
## Question 1:

| Answer | Marks | Guidance |
|--------|-------|----------|
| $s_x^2 = \frac{243.8}{59} \left[= \frac{1219}{295} = 4.132\right]$, $s_y^2 = \frac{384.9}{74} \left[= \frac{3849}{740} = 5.201\right]$ | **B1** | Implied by correct $s$ or pooled estimate $\frac{243.8 + 384.9}{60 + 75 - 2} = 4.727$ |
| $s^2 = \frac{4.132}{60} + \frac{5.201}{75} \left[= 0.1382\right]$ **or** $s = 0.3718$ | **M1** | Using their sample variances. Pooled estimate M0. |
| | **A1** | |
| CI: $\frac{6345}{60} - \frac{7614}{75} \pm 1.96 \times \text{'}0.3718\text{'}$ | **M1** | With a $z$-value |
| | **A1** | With 1.96 (with their $s$). Pooled: $\frac{6345}{60} - \frac{7614}{75} \pm 1.96 \times 2.174\sqrt{\frac{1}{60} + \frac{1}{75}}$ |
| $\left[3.5[0], 4.96\right]$ or $(3.5, 4.96)$ | **A1** | $4.23 \pm 0.729$ is A0, condone $[4.96, 3.5]$ etc. |
| | **Total: 6** | |
1 A factory produces small bottles of natural spring water. Two different machines, $X$ and $Y$, are used to fill empty bottles with the water. A quality control engineer checks the volumes of water in the bottles filled by each of the machines. He chooses a random sample of 60 bottles filled by machine $X$ and a random sample of 75 bottles filled by machine $Y$. The volumes of water, $x$ and $y$ respectively, in millilitres, are summarised as follows.

$$\sum x = 6345 \quad \sum ( x - \bar { x } ) ^ { 2 } = 243.8 \quad \sum y = 7614 \quad \sum ( y - \bar { y } ) ^ { 2 } = 384.9$$

$\bar { x }$ and $\bar { y }$ are the sample means of the volume of water in the bottles filled by machines $X$ and $Y$ respectively.

Find a $95 \%$ confidence interval for the difference between the mean volume of water in bottles filled by machine $X$ and the mean volume of water in bottles filled by machine $Y$.\\

\hfill \mbox{\textit{CAIE Further Paper 4 2023 Q1 [6]}}