Edexcel S1 2019 June — Question 5 14 marks

Exam BoardEdexcel
ModuleS1 (Statistics 1)
Year2019
SessionJune
Marks14
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeTwo unknowns from sum and expectation
DifficultyStandard +0.3 This is a standard S1 question requiring routine application of probability axioms (sum=1), expectation and variance formulas to find two unknowns. Part (d) involves straightforward conditional probability with clear cases, and part (e) is basic interpretation. All techniques are textbook exercises with no novel insight required, making it slightly easier than average.
Spec2.04a Discrete probability distributions5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables

  1. The discrete random variable \(X\) represents the score when a biased spinner is spun. The probability distribution of \(X\) is given by
\(x\)- 2- 1023
\(\mathrm { P } ( X = x )\)\(p\)\(p\)\(q\)\(\frac { 1 } { 4 }\)\(p\)
where \(p\) and \(q\) are probabilities.
  1. Find \(\mathrm { E } ( X )\). Given that \(\operatorname { Var } ( X ) = 2.5\)
  2. find the value of \(p\).
  3. Hence find the value of \(q\). Amar is invited to play a game with the spinner.
    The spinner is spun once and \(X _ { 1 }\) is the score on the spinner. If \(X _ { 1 } > 0\) Amar wins the game.
    If \(X _ { 1 } = 0\) Amar loses the game.
    If \(X _ { 1 } < 0\) the spinner is spun again and \(X _ { 2 }\) is the score on this second spin and if \(X _ { 1 } + X _ { 2 } > 0\) Amar wins the game, otherwise Amar loses the game.
  4. Find the probability that Amar wins the game. Amar does not want to lose the game.
    He says that because \(\mathrm { E } ( X ) > 0\) he will play the game.
  5. State, giving a reason, whether or not you would agree with Amar.

AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(E(X) = -2p - p + 0 + \frac{1}{2} + 3p \quad ; \quad = \frac{1}{2}\)M1 ; A1 For a correct expr'n for E(X) in p (at least 3 non-zero terms seen). May be implied by A1. For \(\frac{1}{2}\) (or exact equivalent e.g. \(\frac{4}{8}\) or 0.5)
\(E(X^2) = 4p + p + 0 + 1 + 9p = [14p + 1]\) \([\text{Var}(X)] = E(X^2) - [E(X)]^2 = 14p + 1 - (\text{"}_{2}\text{"})^2\)M1A1, dM1 For a correct expression for E(X²) (at least 3 non-zero terms). May be implied by A1. For \(14p + 1\) or any fully correct expression in terms of p. For use of \([\text{Var}(X)] = E(X^2) - [E(X)]^2\). If they think E(X²) = Var(X) get \(p = \frac{3}{8}, q = \frac{3}{8}\) and up to (b) M1A1M0M1A0 (c) B1ft and if they get \(\frac{319}{384}\) in (d) it implies M1M1A1A0 there and access to (e)
So \(14p + 0.75 = 2.5\)M1 For forming a linear equation in p using the 2.5
\(p = \frac{1}{8}\)A1 For \(p = \frac{1}{8}\) or exact equivalent e.g. 0.125
Sum of probabilities = 1 implies \(q = \frac{3}{8}\)B1ft For \(q = \frac{3}{8}\) or exact equivalent e.g. 0.375 or \(\frac{3}{8} - 3p\) 0<p<1
\(P(\text{Amar wins}) = \text{e.g. } P(X_1 > 0) + P(X_1 < 0) \times P([\text{X_1 + X_2] > 0X_1 < 0})\) or \(P(X_1 = 2 \text{ or } 3) + P(X_1 = -2) \times P(X_2 = 3) + P(X_1 = -1) \times P(X_2 = 2 \text{ or } 3)\) M1, M1
Cases \(X_1 = -2\) and \(X_2 = 3\) so probability = \(p^2\) \(X_1 = -1\) and \(X_2 \geq 2\) so probability = \(p(p + \frac{1}{4})\)
Total probability = \(p + 0.25 + p^2 + p(p + 0.25) = \frac{1}{8} + \frac{1}{4} + \frac{1}{64} + \frac{1}{64} + \frac{1}{32}\)A1ft For correct expression for total probability (allow their \(0 < p < 1\) letter p)
\(= \frac{7}{16}\)A1
\([P(\text{win}) < 0.5\) Amar should not play the game or "disagree"M1, A1 For identifying that the important feature is that P(win) < 0.5 (o.e.) [ft their \(\frac{7}{16} < 0.5\)]. For concluding that he shouldn't play the game (dep on M1 seen & 0.375 < (d) < 0.5)
Notes:
(a) M1 for a correct expr'n for E(X) in p (at least 3 non-zero terms seen). May be implied by A1
A1 for \(\frac{1}{2}\) (or exact equivalent e.g. \(\frac{4}{8}\) or 0.5)
(b) 1st M1 for a correct expression for E(X²) (at least 3 non-zero terms). May be implied by A1
1st A1 for \(14p + 1\) or any fully correct expression in terms of p
2nd dM1 dep on 1st M1 for use of \([\text{Var}(X)] = E(X^2) - [E(X)]^2\)
3rd M1 for forming a linear equation in p using the 2.5
2nd A1 for \(p = \frac{1}{8}\) or exact equivalent e.g. 0.125
(c) B1ft for \(q = \frac{3}{8}\) or exact equivalent e.g. 0.375 or \(\frac{3}{8} - 3p\) 0<p<1
(d) 1st M1 for identifying only the correct cases (any correct list, adding not needed)
2nd M1 for identifying all the cases where a 2nd spin is required and probabilities (no extras)
1st A1ft for correct expression for total probability (allow their \(0 < p < 1\) letter p)
2nd A1 for \(\frac{7}{16}\) (or exact equivalent e.g. 0.4375) [\(\frac{7}{16}\) with no incorrect working seen gets 4/4]
ALT Allow P(loses) = q + p(1 – p) + p · (0.75 – p) only if 1 – P(loses) is seen
(e) M1 for identifying that the important feature is that P(win) < 0.5 (o.e.) [ft their \(\frac{7}{16} < 0.5\)]
A1cao for concluding that he shouldn't play the game (dep on M1 seen & 0.375 < (d) < 0.5)
| Answer/Working | Marks | Guidance |
|---|---|---|
| $E(X) = -2p - p + 0 + \frac{1}{2} + 3p \quad ; \quad = \frac{1}{2}$ | M1 ; A1 | For a correct expr'n for E(X) in p (at least 3 non-zero terms seen). May be implied by A1. For $\frac{1}{2}$ (or exact equivalent e.g. $\frac{4}{8}$ or 0.5) |
| $E(X^2) = 4p + p + 0 + 1 + 9p = [14p + 1]$ $[\text{Var}(X)] = E(X^2) - [E(X)]^2 = 14p + 1 - (\text{"}_{2}\text{"})^2$ | M1A1, dM1 | For a correct expression for E(X²) (at least 3 non-zero terms). May be implied by A1. For $14p + 1$ or any fully correct expression in terms of p. For use of $[\text{Var}(X)] = E(X^2) - [E(X)]^2$. If they think E(X²) = Var(X) get $p = \frac{3}{8}, q = \frac{3}{8}$ and up to (b) M1A1M0M1A0 (c) B1ft and if they get $\frac{319}{384}$ in (d) it implies M1M1A1A0 there and access to (e) |
| So $14p + 0.75 = 2.5$ | M1 | For forming a linear equation in p using the 2.5 |
| $p = \frac{1}{8}$ | A1 | For $p = \frac{1}{8}$ or exact equivalent e.g. 0.125 |
| Sum of probabilities = 1 implies $q = \frac{3}{8}$ | B1ft | For $q = \frac{3}{8}$ or exact equivalent e.g. 0.375 or $\frac{3}{8} - 3p$ 0<p<1 |
| $P(\text{Amar wins}) = \text{e.g. } P(X_1 > 0) + P(X_1 < 0) \times P([\text{X_1 + X_2] > 0 | X_1 < 0})$ **or** $P(X_1 = 2 \text{ or } 3) + P(X_1 = -2) \times P(X_2 = 3) + P(X_1 = -1) \times P(X_2 = 2 \text{ or } 3)$ | M1, M1 | For identifying only the correct cases (any correct list, adding not needed). For identifying all the cases where a 2nd spin is required and probabilities (no extras) |
| **Cases** $X_1 = -2$ and $X_2 = 3$ so probability = $p^2$ $X_1 = -1$ and $X_2 \geq 2$ so probability = $p(p + \frac{1}{4})$ | | |
| Total probability = $p + 0.25 + p^2 + p(p + 0.25) = \frac{1}{8} + \frac{1}{4} + \frac{1}{64} + \frac{1}{64} + \frac{1}{32}$ | A1ft | For correct expression for total probability (allow their $0 < p < 1$ letter p) |
| $= \frac{7}{16}$ | A1 | |
| $[P(\text{win}) < 0.5$ **Amar should not play the game or "disagree"** | M1, A1 | For identifying that the important feature is that P(win) < 0.5 (o.e.) [ft their $\frac{7}{16} < 0.5$]. For concluding that he shouldn't play the game (dep on M1 seen & 0.375 < (d) < 0.5) |

**Notes:**

**(a)** M1 for a correct expr'n for E(X) in p (at least 3 non-zero terms seen). May be implied by A1
A1 for $\frac{1}{2}$ (or exact equivalent e.g. $\frac{4}{8}$ or 0.5)

**(b)** 1st M1 for a correct expression for E(X²) (at least 3 non-zero terms). May be implied by A1
1st A1 for $14p + 1$ or any fully correct expression in terms of p
2nd dM1 dep on 1st M1 for use of $[\text{Var}(X)] = E(X^2) - [E(X)]^2$
3rd M1 for forming a linear equation in p using the 2.5
2nd A1 for $p = \frac{1}{8}$ or exact equivalent e.g. 0.125

**(c)** B1ft for $q = \frac{3}{8}$ or exact equivalent e.g. 0.375 or $\frac{3}{8} - 3p$ 0<p<1

**(d)** 1st M1 for identifying only the correct cases (any correct list, adding not needed)
2nd M1 for identifying all the cases where a 2nd spin is required and probabilities (no extras)
1st A1ft for correct expression for total probability (allow their $0 < p < 1$ letter p)
2nd A1 for $\frac{7}{16}$ (or exact equivalent e.g. 0.4375) [$\frac{7}{16}$ with no incorrect working seen gets 4/4]

**ALT** Allow P(loses) = q + p(1 – p) + p · (0.75 – p) only if 1 – P(loses) is seen

**(e)** M1 for identifying that the important feature is that P(win) < 0.5 (o.e.) [ft their $\frac{7}{16} < 0.5$]
A1cao for concluding that he shouldn't play the game (dep on M1 seen & 0.375 < (d) < 0.5)

---
\begin{enumerate}
  \item The discrete random variable $X$ represents the score when a biased spinner is spun. The probability distribution of $X$ is given by
\end{enumerate}

\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | }
\hline
$x$ & - 2 & - 1 & 0 & 2 & 3 \\
\hline
$\mathrm { P } ( X = x )$ & $p$ & $p$ & $q$ & $\frac { 1 } { 4 }$ & $p$ \\
\hline
\end{tabular}
\end{center}

where $p$ and $q$ are probabilities.\\
(a) Find $\mathrm { E } ( X )$.

Given that $\operatorname { Var } ( X ) = 2.5$\\
(b) find the value of $p$.\\
(c) Hence find the value of $q$.

Amar is invited to play a game with the spinner.\\
The spinner is spun once and $X _ { 1 }$ is the score on the spinner.

If $X _ { 1 } > 0$ Amar wins the game.\\
If $X _ { 1 } = 0$ Amar loses the game.\\
If $X _ { 1 } < 0$ the spinner is spun again and $X _ { 2 }$ is the score on this second spin and if $X _ { 1 } + X _ { 2 } > 0$ Amar wins the game, otherwise Amar loses the game.\\
(d) Find the probability that Amar wins the game.

Amar does not want to lose the game.\\
He says that because $\mathrm { E } ( X ) > 0$ he will play the game.\\
(e) State, giving a reason, whether or not you would agree with Amar.

\hfill \mbox{\textit{Edexcel S1 2019 Q5 [14]}}