CAIE Further Paper 4 2020 November — Question 1 7 marks

Exam BoardCAIE
ModuleFurther Paper 4 (Further Paper 4)
Year2020
SessionNovember
Marks7
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear combinations of normal random variables
TypeStandard CI with summary statistics
DifficultyModerate -0.3 This is a standard two-sample confidence interval calculation with summary statistics provided. Students must calculate sample means and variances from the summations, then apply the formula for a CI for difference of means. While it requires careful arithmetic and knowledge of the t-distribution, it's a routine procedure with no conceptual challenges or novel problem-solving required—slightly easier than average for Further Maths statistics.
Spec5.05d Confidence intervals: using normal distribution

1 Kayla is investigating the lengths of the leaves of a certain type of tree found in two forests \(X\) and \(Y\). She chooses a random sample of 40 leaves of this type from forest \(X\) and records their lengths, \(x \mathrm {~cm}\). She also records the lengths, \(y \mathrm {~cm}\), for a random sample of 60 leaves of this type from forest \(Y\). Her results are summarised as follows. $$\sum x = 242.0 \quad \sum x ^ { 2 } = 1587.0 \quad \sum y = 373.2 \quad \sum y ^ { 2 } = 2532.6$$ Find a \(90 \%\) confidence interval for the difference between the population mean lengths of leaves in forests \(X\) and \(Y\).

Question 1:
AnswerMarks Guidance
AnswerMarks Guidance
\(s_x^2 = \frac{1}{39}\left(1587.0 - \frac{242.0^2}{40}\right) = 3.15128 \left(= \frac{1229}{390}\right)\)M1 A1 Either unsimplified; Both correct
\(s_y^2 = \frac{1}{59}\left(2532.6 - \frac{373.2^2}{60}\right) = 3.58129 \left(= \frac{26412}{7375}\right)\)
\(s^2 = \frac{3.15128}{40} + \frac{3.58129}{60} = 0.13847\)M1 A1 Pooled variance is M0A0; or \(s = 0.3721\)
\(6.05 - 6.22 \pm zs\)M1 FT their \(s\), must be a \(z\) value
\(= 0.17 \pm 1.645\sqrt{0.13847}\)A1 With 1.645
\(= [-0.442,\ 0.782]\) or \([-0.782,\ 0.442]\)A1
Total: 7
## Question 1:

| Answer | Marks | Guidance |
|--------|-------|----------|
| $s_x^2 = \frac{1}{39}\left(1587.0 - \frac{242.0^2}{40}\right) = 3.15128 \left(= \frac{1229}{390}\right)$ | **M1 A1** | Either unsimplified; Both correct |
| $s_y^2 = \frac{1}{59}\left(2532.6 - \frac{373.2^2}{60}\right) = 3.58129 \left(= \frac{26412}{7375}\right)$ | | |
| $s^2 = \frac{3.15128}{40} + \frac{3.58129}{60} = 0.13847$ | **M1 A1** | Pooled variance is M0A0; or $s = 0.3721$ |
| $6.05 - 6.22 \pm zs$ | **M1** | FT their $s$, must be a $z$ value |
| $= 0.17 \pm 1.645\sqrt{0.13847}$ | **A1** | With 1.645 |
| $= [-0.442,\ 0.782]$ or $[-0.782,\ 0.442]$ | **A1** | |
| | **Total: 7** | |
1 Kayla is investigating the lengths of the leaves of a certain type of tree found in two forests $X$ and $Y$. She chooses a random sample of 40 leaves of this type from forest $X$ and records their lengths, $x \mathrm {~cm}$. She also records the lengths, $y \mathrm {~cm}$, for a random sample of 60 leaves of this type from forest $Y$. Her results are summarised as follows.

$$\sum x = 242.0 \quad \sum x ^ { 2 } = 1587.0 \quad \sum y = 373.2 \quad \sum y ^ { 2 } = 2532.6$$

Find a $90 \%$ confidence interval for the difference between the population mean lengths of leaves in forests $X$ and $Y$.\\

\hfill \mbox{\textit{CAIE Further Paper 4 2020 Q1 [7]}}