OCR PURE — Question 13 7 marks

Exam BoardOCR
ModulePURE
Marks7
PaperDownload PDF ↗
TopicDiscrete Probability Distributions
TypeComparison or ordering of two independent values
DifficultyChallenging +1.2 This question requires finding p from probability axioms, systematically enumerating cases where xy > x+y, and understanding sampling with/without replacement. Part (b) involves symmetry reasoning with equally likely outcomes. While multi-step, the techniques are standard A-level probability methods without requiring novel insight or complex algebraic manipulation.
Spec2.03a Mutually exclusive and independent events2.04a Discrete probability distributions

13
  1. The probability distribution of a random variable \(X\) is shown in the table, where \(p\) is a constant.
    \(x\)0123
    \(P ( X = x )\)\(\frac { 1 } { 12 }\)\(\frac { 1 } { 4 }\)\(p\)\(3 p\)
    Two values of \(X\) are chosen at random. Determine the probability that their product is greater than their sum.
  2. A random variable \(Y\) takes \(n\) values, each of which is equally likely. Two values, \(Y _ { 1 }\) and \(Y _ { 2 }\), of \(Y\) are chosen at random. It is given that \(\mathrm { P } \left( Y _ { 1 } = Y _ { 2 } \right) = 0.02\).
    Find \(\mathrm { P } \left( Y _ { 1 } > Y _ { 2 } \right)\).

Question 13:
Part (a):
AnswerMarks Guidance
\(\frac{1}{12} + \frac{1}{4} + p + 3p = 1\)M1
\(p = \frac{1}{6}\)A1
\((2,3)\ (3,2)\ (3,3)\)M1 soi. Allow M1 for any two correct pairs and no incorrect pairs, or for all three correct pairs and at most one incorrect pair
\(\frac{1}{6} \times \frac{1}{2} + \frac{1}{2} \times \frac{1}{6} + \frac{1}{2} \times \frac{1}{2}\)M1 All correct and added, ft their \(p\)
\(\frac{5}{12}\)A1, [5]
Part (b):
AnswerMarks
\(\frac{1}{2}(1 - 0.02)\)M1
\(= 0.49\)A1, [2]
# Question 13:

## Part (a):
$\frac{1}{12} + \frac{1}{4} + p + 3p = 1$ | M1 |

$p = \frac{1}{6}$ | A1 |

$(2,3)\ (3,2)\ (3,3)$ | M1 | soi. Allow M1 for any two correct pairs and no incorrect pairs, or for all three correct pairs and at most one incorrect pair

$\frac{1}{6} \times \frac{1}{2} + \frac{1}{2} \times \frac{1}{6} + \frac{1}{2} \times \frac{1}{2}$ | M1 | All correct and added, ft their $p$

$\frac{5}{12}$ | A1, [5] |

## Part (b):
$\frac{1}{2}(1 - 0.02)$ | M1 |

$= 0.49$ | A1, [2] |
13
\begin{enumerate}[label=(\alph*)]
\item The probability distribution of a random variable $X$ is shown in the table, where $p$ is a constant.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | }
\hline
$x$ & 0 & 1 & 2 & 3 \\
\hline
$P ( X = x )$ & $\frac { 1 } { 12 }$ & $\frac { 1 } { 4 }$ & $p$ & $3 p$ \\
\hline
\end{tabular}
\end{center}

Two values of $X$ are chosen at random. Determine the probability that their product is greater than their sum.
\item A random variable $Y$ takes $n$ values, each of which is equally likely. Two values, $Y _ { 1 }$ and $Y _ { 2 }$, of $Y$ are chosen at random.

It is given that $\mathrm { P } \left( Y _ { 1 } = Y _ { 2 } \right) = 0.02$.\\
Find $\mathrm { P } \left( Y _ { 1 } > Y _ { 2 } \right)$.
\end{enumerate}

\hfill \mbox{\textit{OCR PURE  Q13 [7]}}