CAIE S2 2020 November — Question 3 6 marks

Exam BoardCAIE
ModuleS2 (Statistics 2)
Year2020
SessionNovember
Marks6
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Mark schemeDownload PDF ↗
TopicLinear combinations of normal random variables
TypeDirect comparison with scalar multiple (different variables)
DifficultyStandard +0.8 This question requires students to construct a new random variable (F - 0.5M) from two independent normal distributions, find its mean and variance using linear combination properties, then calculate a probability using standardization. While the individual steps are standard S2 techniques, the setup requires careful algebraic manipulation and the insight to form the correct comparison inequality, making it moderately challenging but within typical A-level scope.
Spec5.04b Linear combinations: of normal distributions

3 The masses, in kilograms, of female and male animals of a certain species have the distributions \(\mathrm { N } \left( 102,27 ^ { 2 } \right)\) and \(\mathrm { N } \left( 170,55 ^ { 2 } \right)\) respectively. Find the probability that a randomly chosen female has a mass that is less than half the mass of a randomly chosen male. \includegraphics[max width=\textwidth, alt={}, center]{65b50bfb-5fd8-4cf3-ae3b-cffc12e23cd8-06_76_1659_484_244}

Question 3:
AnswerMarks Guidance
AnswerMark Guidance
\(F - 0.5M\)M1 SOI
\(\sim N(17,\ 27^2 + 0.25 \times 55^2)\)B1 for \(102 - 0.5(170)\) (= 17) or 34
B1for \(27^2 + 0.25 \times 55^2\) (= 1485.25) or \(2^2 \times 27^2 + 55^2\) (= 5941)
\(\frac{0 - \text{'17'}}{\sqrt{\text{'1485.25'}}}\) (= −0.4411)M1 Must have an attempt at combining \(F\) and \(M\). No standard deviation/variance errors
\(P(F - 0.5M < 0) = \phi(\text{'-0.4411'}) = 1 - \phi(\text{'0.4411'})\)M1 Correct area consistent with *their* figures
\(= 0.330\) (3 sf)A1 Allow 0.33 if no greater accuracy given
Alternative method for Question 3:
AnswerMarks Guidance
AnswerMark Guidance
\(2F - M\)
\(\sim N(34,\ 2^2 \times 27^2 + 55^2)\)B1 for \(102 - 0.5(170)\) (= 17) or 34
B1for \(27^2 + 0.25 \times 55^2\) (= 1485.25) or \(2^2 \times 27^2 + 55^2\) (= 5941)
\(\frac{0 - \text{'34'}}{\sqrt{\text{'5941'}}}\) (= −0.4411)M1 Must have an attempt at combining \(F\) and \(M\). No standard deviation/variance errors
\(P(2F - M < 0) = \phi(\text{'-0.4411'}) = 1 - \phi(\text{'0.4411'})\)M1 Correct area consistent with *their* figures
\(= 0.330\) (3 sf)A1 Allow 0.33 if no greater accuracy given
## Question 3:

| Answer | Mark | Guidance |
|--------|------|----------|
| $F - 0.5M$ | M1 | SOI |
| $\sim N(17,\ 27^2 + 0.25 \times 55^2)$ | B1 | for $102 - 0.5(170)$ (= 17) or 34 |
| | B1 | for $27^2 + 0.25 \times 55^2$ (= 1485.25) or $2^2 \times 27^2 + 55^2$ (= 5941) |
| $\frac{0 - \text{'17'}}{\sqrt{\text{'1485.25'}}}$ (= −0.4411) | M1 | Must have an attempt at combining $F$ and $M$. No standard deviation/variance errors |
| $P(F - 0.5M < 0) = \phi(\text{'-0.4411'}) = 1 - \phi(\text{'0.4411'})$ | M1 | Correct area consistent with *their* figures |
| $= 0.330$ (3 sf) | A1 | Allow 0.33 if no greater accuracy given |

**Alternative method for Question 3:**

| Answer | Mark | Guidance |
|--------|------|----------|
| $2F - M$ | | |
| $\sim N(34,\ 2^2 \times 27^2 + 55^2)$ | B1 | for $102 - 0.5(170)$ (= 17) or 34 |
| | B1 | for $27^2 + 0.25 \times 55^2$ (= 1485.25) or $2^2 \times 27^2 + 55^2$ (= 5941) |
| $\frac{0 - \text{'34'}}{\sqrt{\text{'5941'}}}$ (= −0.4411) | M1 | Must have an attempt at combining $F$ and $M$. No standard deviation/variance errors |
| $P(2F - M < 0) = \phi(\text{'-0.4411'}) = 1 - \phi(\text{'0.4411'})$ | M1 | Correct area consistent with *their* figures |
| $= 0.330$ (3 sf) | A1 | Allow 0.33 if no greater accuracy given |

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3 The masses, in kilograms, of female and male animals of a certain species have the distributions $\mathrm { N } \left( 102,27 ^ { 2 } \right)$ and $\mathrm { N } \left( 170,55 ^ { 2 } \right)$ respectively.

Find the probability that a randomly chosen female has a mass that is less than half the mass of a randomly chosen male.\\
\includegraphics[max width=\textwidth, alt={}, center]{65b50bfb-5fd8-4cf3-ae3b-cffc12e23cd8-06_76_1659_484_244}\\

\hfill \mbox{\textit{CAIE S2 2020 Q3 [6]}}