| Exam Board | Edexcel |
|---|---|
| Module | S2 (Statistics 2) |
| Year | 2022 |
| Session | October |
| Marks | 12 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Continuous Uniform Random Variables |
| Type | Find parameters from given statistics |
| Difficulty | Standard +0.3 This S2 question tests standard uniform distribution formulas (mean, variance, probability) with straightforward algebraic manipulation. Part (i) requires solving two equations in two unknowns, part (ii) applies the variance formula directly, and part (iii) needs basic geometric probability reasoning. All parts are routine applications of textbook methods with no novel insight required, making it slightly easier than average. |
| Spec | 5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03c Calculate mean/variance: by integration |
| Answer | Marks | Guidance |
|---|---|---|
| Working/Answer | Mark | Guidance |
| \(\frac{a+b}{2} = 9\) and \(\frac{13-5}{b-a} = \frac{1}{5}\) or \(a = -11\) and \(b = 29\) | M1 | Setting up 2 correct equations; may be implied by correct answers for \(a\) and \(b\) |
| \(P\!\left(X > \frac{"29"-"11"}{3}\right) \left[= P(X>6)\right]\) or \(P\!\left(X > \frac{9\times2}{3}\right) = \frac{23}{40}\) | M1A1 | Realising need to find \(P(X>6)\); A1 for \(\frac{23}{40}\) oe or 0.575 |
| Answer | Marks | Guidance |
|---|---|---|
| Working/Answer | Mark | Guidance |
| \(\frac{1}{12}(c-1)^2 = 0.48 \Rightarrow c = 3.4\) | M1 | Correct equation to find \(c\) with \(c = \ldots\) |
| \(E(Y) = \frac{1 + "3.4"}{2}\) | M1 | Correct method for finding \(E(Y)\) using "their \(c\)" |
| \(E(Y^2) = 0.48 + \left(\frac{1+3.4}{2}\right)^2 = 5.32\) | M1A1 | Correct method for \(E(Y^2)\) using "their \(E(Y)^2\)"; A1 for 5.32 (allow \(\frac{133}{25}\)) |
| Answer | Marks | Guidance |
|---|---|---|
| Working/Answer | Mark | Guidance |
| \(W < 6\) or \(W > 14\) or \(X < 12\) or \(Y > 8\) (any letter, ignore distribution) | M1 | For identifying a correct region |
| \(2\times P(W<6) = 2\times\frac{6-0}{20}\) or \(2\times P(W>14) = 2\times\frac{20-14}{20}\) or \(P(W<6) = \frac{3}{10}\) and \(P(W>14) = \frac{3}{10}\) or \(P(X>14) = \frac{3}{5}\) or \(P(Y<6) = \frac{3}{5}\) | M1 | Correct method for a required probability associated with correct distribution |
| \(P(8 < W < 12) = \frac{12-8}{20}\) or \(P(X<12) = \frac{12-10}{10}\) or \(P(Y>8) = \frac{10-8}{10}\) | M1 | Correct method for second required probability |
| \(P(\text{shortest side} < 6) = "\frac{3}{10}" + "\frac{3}{10}" + "\frac{1}{5}"\) or \("\frac{1}{5}" + "\frac{3}{5}"= \frac{4}{5}\) | dM1 | Dependent on previous 3 M marks |
| \(\frac{4}{5}\) | A1 | cao |
| Answer | Marks | Guidance |
|---|---|---|
| Working/Answer | Mark | Guidance |
| \(6 < W < 8\) or \(12 < W < 14\) (any letter, ignore distribution) | M1 | Identifying correct region |
\(P(6| M1 |
Correct method for required probability |
|
\(2\times P(6| M1 |
Correct method for second probability |
|
| \(P(\text{shortest side} < 6) = 1 - "\frac{1}{10}" - "\frac{1}{10}"\) or \(1 - "\frac{2}{10}" = \frac{4}{5}\) | dM1A1 | Dependent on previous 3 M marks; cao |
| Answer | Marks | Guidance |
|---|---|---|
| Working/Answer | Mark | Guidance |
| \(W > 10\) or \(12 < W < 14\) or \(6 < W < 8\) or \(W < 10\) (any letter) | M1 | Identifying correct region |
| \(P(12 | M1 | Correct method for both required probabilities |
\(P(12| M1 |
Correct use of conditional probability |
|
| \(P(\text{shortest side} < 6) = 1 - "\frac{1}{5}" = \frac{4}{5}\) | dM1A1 | Dependent on previous 3 M marks; cao |
# Question 7:
## Part (i):
| Working/Answer | Mark | Guidance |
|---|---|---|
| $\frac{a+b}{2} = 9$ and $\frac{13-5}{b-a} = \frac{1}{5}$ or $a = -11$ and $b = 29$ | M1 | Setting up 2 correct equations; may be implied by correct answers for $a$ and $b$ |
| $P\!\left(X > \frac{"29"-"11"}{3}\right) \left[= P(X>6)\right]$ or $P\!\left(X > \frac{9\times2}{3}\right) = \frac{23}{40}$ | M1A1 | Realising need to find $P(X>6)$; A1 for $\frac{23}{40}$ oe or 0.575 |
## Part (ii):
| Working/Answer | Mark | Guidance |
|---|---|---|
| $\frac{1}{12}(c-1)^2 = 0.48 \Rightarrow c = 3.4$ | M1 | Correct equation to find $c$ with $c = \ldots$ |
| $E(Y) = \frac{1 + "3.4"}{2}$ | M1 | Correct method for finding $E(Y)$ using "their $c$" |
| $E(Y^2) = 0.48 + \left(\frac{1+3.4}{2}\right)^2 = 5.32$ | M1A1 | Correct method for $E(Y^2)$ using "their $E(Y)^2$"; A1 for 5.32 (allow $\frac{133}{25}$) |
## Part (iii):
| Working/Answer | Mark | Guidance |
|---|---|---|
| $W < 6$ or $W > 14$ or $X < 12$ or $Y > 8$ (any letter, ignore distribution) | M1 | For identifying a correct region |
| $2\times P(W<6) = 2\times\frac{6-0}{20}$ or $2\times P(W>14) = 2\times\frac{20-14}{20}$ or $P(W<6) = \frac{3}{10}$ **and** $P(W>14) = \frac{3}{10}$ or $P(X>14) = \frac{3}{5}$ or $P(Y<6) = \frac{3}{5}$ | M1 | Correct method for a required probability associated with correct distribution |
| $P(8 < W < 12) = \frac{12-8}{20}$ or $P(X<12) = \frac{12-10}{10}$ or $P(Y>8) = \frac{10-8}{10}$ | M1 | Correct method for second required probability |
| $P(\text{shortest side} < 6) = "\frac{3}{10}" + "\frac{3}{10}" + "\frac{1}{5}"$ or $"\frac{1}{5}" + "\frac{3}{5}"= \frac{4}{5}$ | dM1 | Dependent on previous 3 M marks |
| $\frac{4}{5}$ | A1 | cao |
**Alternative 1:**
| Working/Answer | Mark | Guidance |
|---|---|---|
| $6 < W < 8$ or $12 < W < 14$ (any letter, ignore distribution) | M1 | Identifying correct region |
| $P(6<W<8) = \frac{8-6}{20}$ or $P(12<W<14) = \frac{14-12}{20}$ each $= \frac{1}{10}$ | M1 | Correct method for required probability |
| $2\times P(6<W<8) = 2\times\frac{1}{10}$ or $2\times P(12<W<14) = 2\times\frac{1}{10}$ | M1 | Correct method for second probability |
| $P(\text{shortest side} < 6) = 1 - "\frac{1}{10}" - "\frac{1}{10}"$ or $1 - "\frac{2}{10}" = \frac{4}{5}$ | dM1A1 | Dependent on previous 3 M marks; cao |
**Alternative 2:**
| Working/Answer | Mark | Guidance |
|---|---|---|
| $W > 10$ or $12 < W < 14$ or $6 < W < 8$ or $W < 10$ (any letter) | M1 | Identifying correct region |
| $P(12<W<14) = \frac{1}{10}$ **and** $P(W>10) = \frac{1}{2}$ or $P(6<W<8) = \frac{1}{10}$ **and** $P(W<10) = \frac{1}{2}$ | M1 | Correct method for both required probabilities |
| $P(12<W<14 \mid W>10) = \frac{"\frac{1}{10}"}{"\frac{1}{2}"}\left[= \frac{1}{5}\right]$ or $P(6<W<8 \mid W<10) = \frac{"\frac{1}{10}"}{"\frac{1}{2}"}\left[= \frac{1}{5}\right]$ | M1 | Correct use of conditional probability |
| $P(\text{shortest side} < 6) = 1 - "\frac{1}{5}" = \frac{4}{5}$ | dM1A1 | Dependent on previous 3 M marks; cao |
> **NB**: Any answer of $\frac{4}{5}$ scores 5/5 provided it has not come from incorrect working.
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\begin{enumerate}
\item (i) The continuous random variable $X$ is uniformly distributed over the interval $[ a , b ]$
\end{enumerate}
Given that $\mathrm { P } ( 5 < X < 13 ) = \frac { 1 } { 5 }$ and $\mathrm { E } ( X ) = 9$, find $\mathrm { P } ( 3 X > a + b )$\\
(ii) The continuous random variable $Y$ is uniformly distributed over the interval $[ 1 , c ]$ Given that $\operatorname { Var } ( Y ) = 0.48$, find the exact value of $\mathrm { E } \left( Y ^ { 2 } \right)$\\
(iii) A wire of length 20 cm is cut into 2 pieces at a random point.
The longest piece of wire is then cut into 2 pieces, equal in length, giving 3 pieces of wire altogether.
Find the probability that the length of the shortest piece of wire is less than 6 cm .
\hfill \mbox{\textit{Edexcel S2 2022 Q7 [12]}}