Edexcel S3 2021 January — Question 6 18 marks

Exam BoardEdexcel
ModuleS3 (Statistics 3)
Year2021
SessionJanuary
Marks18
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear combinations of normal random variables
TypeDifferent variables, one observation each
DifficultyStandard +0.8 This is a multi-part question on linear combinations of normal variables requiring (a) finding P(Y>R) by forming Y-R, (b) comparing 3R with 4Y, and (c) minimizing variance subject to a mean constraint using calculus. Part (c) requires genuine problem-solving insight about the variance-minimization condition, elevating this above routine S3 exercises.
Spec2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation5.04b Linear combinations: of normal distributions

6. A potter makes decorative tiles in two colours, red and yellow. The length, \(R \mathrm {~cm}\), of the red tiles has a normal distribution with mean 15 cm and standard deviation 1.5 cm . The length, \(Y \mathrm {~cm}\), of the yellow tiles has the normal distribution \(\mathrm { N } \left( 12,0.8 ^ { 2 } \right)\). The random variables \(R\) and \(Y\) are independent. A red tile and a yellow tile are chosen at random.
  1. Find the probability that the yellow tile is longer than the red tile. Taruni buys 3 red tiles and 1 yellow tile.
  2. Find the probability that the total length of the 3 red tiles is less than 4 times the length of the yellow tile. Stefan defines the random variable \(X = a R + b Y\), where \(a\) and \(b\) are constants. He wants to use values of \(a\) and \(b\) such that \(X\) has a mean of 780 and minimum variance.
  3. Find the value of \(a\) and the value of \(b\) that Stefan should use. \includegraphics[max width=\textwidth, alt={}, center]{ba3f3f9c-53d2-4e95-b2f3-3f617f1821ed-19_2255_50_314_34}

AnswerMarks Guidance
Answer/WorkingMarks Guidance
Let \(D = Y - R\) then \(E(D) = -3\); \(\text{Var}(D) = 0.8^2 + 1.5^2\) or \(1.7^2\) or \(2.89\)B1, M1 B1 for \(E(D) = -3\) (or +3 if using \(R - Y\)); 1st M1 for \(\text{Var}(D) = 0.8^2 + 1.5^2\) o.e.
\(P(D > 0) = P\left(Z > \frac{0-(-3)}{1.7}\right)\) or \(P(Z > 1.7647...)\)M1 2nd M1 for attempt at \(P(D > 0)\) must standardise with their -3 and their 1.7 and inequality
\(= 0.03880655...\) or \(1 - 0.9608 = 0.0392\) awrt 0.039A1 A1 for awrt 0.039
Subtotal: (4 marks)
\((R_1 + R_2 + R_3) \sim N\left(45, \sqrt{3 \times 1.5^2}\right)\) ; \(4Y \sim N\left(48, \sqrt{4^2 \times 0.8^2}\right)\)M1A1A1 1st M1 for correct mean or variance for either \(R_1 + R_2 + R_3\) or \(4Y\); 1st A1 for \(\left(R_1 + R_2 + R_3\right) \sim N\left(45, \sqrt{6.75}^2\right)\); 2nd A1 for \(4Y \sim N\left(48, \sqrt{10.24}^2\right)\)
\(L = 4Y - (R_1 + R_2 + R_3) \Rightarrow L \sim N\left(3, \sqrt{16.99}\right)\)M1A1 2nd M1 for attempting a suitable \(L\) (condone 3R − 4L etc); A1 for correct mean and variance. Sight of \(N(\pm 3, 16.99)\) scores 1st 5 marks
\(P(L > 0) = P\left(Z > \frac{0-3}{\sqrt{16.99}}\right)\) or \(P(Z > 0 - 0.7278...)\) [use 0 – 0.73 in tables]dM1 3rd dM1 (dep on 2nd M1) for attempting a prob (\(\to\) ans > 0.5) using \(\mu_L = \pm 3\) and their \(\sigma_L\)
\(= \) awrt 0.767A1 4th A1 for awrt 0.767 (Calc: 0.7666384... or tables 0.7673)
Subtotal: (7 marks)
\(E(X) = 780\) gives \(15a + 12b = 780\)M1A1 1st M1 for attempt use \(E(X) = 780\) must see a linear equation in \(a\) and \(b\) using 780; 1st A1 for \(15a + 12b = 780\) o.e. e.g. \(5a + 4b = 260\) or \(a + 0.8b = 52\) etc
\([\text{Var}(X)] = 1.5^2 \times a^2 + 0.8^2 \times b^2\)M1 2nd M1 for attempt to find expression for \(\text{Var}(X)\) (condone \(a\) and \(b\) wrong way around)
Sub for \(a\): \(\text{Var}(X) = 2.25(52 - 0.8b)^2 + 0.64 \times b^2\) or \(2.08b^2 - 187.2b + 6084\)M1 3rd M1 for forming a quadratic expression for \(\text{Var}(X)\) in terms of \(a\) or \(b\) only (M0 for \(k, k \neq 0\))
\(\frac{d}{db}[\text{Var}(X)] = 0 \Rightarrow 4.16b - 187.2 = 0\)M1 4th M1 suitable method for minimum (e.g. differentiation, or completing square or calc)
\(\mathbf{b = 45}\)A1 2nd A1 for \(b = 45\)
So \(a = 52 - 0.8 \times 45 = 52 - 36\)A1 3rd A1 for both \(b = 45\) and \(a = 16\)
\(\mathbf{a = 16}\) Correct answers should be accompanied by evidence for 1st 4 marks
Subtotal: (7 marks)
Total: [18 marks]
| Answer/Working | Marks | Guidance |
|---|---|---|
| Let $D = Y - R$ then $E(D) = -3$; $\text{Var}(D) = 0.8^2 + 1.5^2$ or $1.7^2$ or $2.89$ | B1, M1 | B1 for $E(D) = -3$ (or +3 if using $R - Y$); 1st M1 for $\text{Var}(D) = 0.8^2 + 1.5^2$ o.e. |
| $P(D > 0) = P\left(Z > \frac{0-(-3)}{1.7}\right)$ or $P(Z > 1.7647...)$ | M1 | 2nd M1 for attempt at $P(D > 0)$ must standardise with their -3 and their 1.7 and inequality |
| $= 0.03880655...$ or $1 - 0.9608 = 0.0392$ awrt **0.039** | A1 | A1 for awrt 0.039 |
| **Subtotal: (4 marks)** | | |
| $(R_1 + R_2 + R_3) \sim N\left(45, \sqrt{3 \times 1.5^2}\right)$ ; $4Y \sim N\left(48, \sqrt{4^2 \times 0.8^2}\right)$ | M1A1A1 | 1st M1 for correct mean or variance for either $R_1 + R_2 + R_3$ or $4Y$; 1st A1 for $\left(R_1 + R_2 + R_3\right) \sim N\left(45, \sqrt{6.75}^2\right)$; 2nd A1 for $4Y \sim N\left(48, \sqrt{10.24}^2\right)$ |
| $L = 4Y - (R_1 + R_2 + R_3) \Rightarrow L \sim N\left(3, \sqrt{16.99}\right)$ | M1A1 | 2nd M1 for attempting a suitable $L$ (condone 3R − 4L etc); A1 for correct mean and variance. Sight of $N(\pm 3, 16.99)$ scores 1st 5 marks |
| $P(L > 0) = P\left(Z > \frac{0-3}{\sqrt{16.99}}\right)$ or $P(Z > 0 - 0.7278...)$ [use 0 – 0.73 in tables] | dM1 | 3rd dM1 (dep on 2nd M1) for attempting a prob ($\to$ ans > 0.5) using $\mu_L = \pm 3$ and their $\sigma_L$ |
| $= $ awrt **0.767** | A1 | 4th A1 for awrt 0.767 (Calc: 0.7666384... or tables 0.7673) |
| **Subtotal: (7 marks)** | | |
| $E(X) = 780$ gives $15a + 12b = 780$ | M1A1 | 1st M1 for attempt use $E(X) = 780$ must see a linear equation in $a$ and $b$ using 780; 1st A1 for $15a + 12b = 780$ o.e. e.g. $5a + 4b = 260$ or $a + 0.8b = 52$ etc |
| $[\text{Var}(X)] = 1.5^2 \times a^2 + 0.8^2 \times b^2$ | M1 | 2nd M1 for attempt to find expression for $\text{Var}(X)$ (condone $a$ and $b$ wrong way around) |
| Sub for $a$: $\text{Var}(X) = 2.25(52 - 0.8b)^2 + 0.64 \times b^2$ or $2.08b^2 - 187.2b + 6084$ | M1 | 3rd M1 for forming a quadratic expression for $\text{Var}(X)$ in terms of $a$ or $b$ only (M0 for $k, k \neq 0$) |
| $\frac{d}{db}[\text{Var}(X)] = 0 \Rightarrow 4.16b - 187.2 = 0$ | M1 | 4th M1 suitable method for minimum (e.g. differentiation, or completing square or calc) |
| $\mathbf{b = 45}$ | A1 | 2nd A1 for $b = 45$ |
| So $a = 52 - 0.8 \times 45 = 52 - 36$ | A1 | 3rd A1 for both $b = 45$ and $a = 16$ |
| $\mathbf{a = 16}$ | | Correct answers should be accompanied by evidence for 1st 4 marks |
| **Subtotal: (7 marks)** | | |

**Total: [18 marks]**
6. A potter makes decorative tiles in two colours, red and yellow. The length, $R \mathrm {~cm}$, of the red tiles has a normal distribution with mean 15 cm and standard deviation 1.5 cm . The length, $Y \mathrm {~cm}$, of the yellow tiles has the normal distribution $\mathrm { N } \left( 12,0.8 ^ { 2 } \right)$. The random variables $R$ and $Y$ are independent.

A red tile and a yellow tile are chosen at random.
\begin{enumerate}[label=(\alph*)]
\item Find the probability that the yellow tile is longer than the red tile.

Taruni buys 3 red tiles and 1 yellow tile.
\item Find the probability that the total length of the 3 red tiles is less than 4 times the length of the yellow tile.

Stefan defines the random variable $X = a R + b Y$, where $a$ and $b$ are constants. He wants to use values of $a$ and $b$ such that $X$ has a mean of 780 and minimum variance.
\item Find the value of $a$ and the value of $b$ that Stefan should use.\\

\includegraphics[max width=\textwidth, alt={}, center]{ba3f3f9c-53d2-4e95-b2f3-3f617f1821ed-19_2255_50_314_34}
\end{enumerate}

\hfill \mbox{\textit{Edexcel S3 2021 Q6 [18]}}