CAIE S1 2012 June — Question 4 10 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2012
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicMeasures of Location and Spread
TypeCalculate statistics from raw data
DifficultyModerate -0.8 This is a straightforward probability and statistics question requiring basic calculations: finding mean/SD from a discrete distribution, constructing a probability table by enumeration, and applying standard binomial distribution formulas. All parts use routine methods with no problem-solving insight needed, making it easier than average but not trivial due to the multi-part nature and careful enumeration required in part (ii).
Spec2.04b Binomial distribution: as model B(n,p)2.04c Calculate binomial probabilities5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables

4 The six faces of a fair die are numbered \(1,1,1,2,3,3\). The score for a throw of the die, denoted by the random variable \(W\), is the number on the top face after the die has landed.
  1. Find the mean and standard deviation of \(W\).
  2. The die is thrown twice and the random variable \(X\) is the sum of the two scores. Draw up a probability distribution table for \(X\).
  3. The die is thrown \(n\) times. The random variable \(Y\) is the number of times that the score is 3 . Given that \(\mathrm { E } ( Y ) = 8\), find \(\operatorname { Var } ( Y )\).

AnswerMarks Guidance
(i) mean = \(11/6\) (\(\frac{5}{6}\), 1.83); \(sd = \sqrt{(1 + 1 + 4 + 9 + 9)/6 - (11/6)^2} = \sqrt{29/6}\) (0.898)B1 M1 A1 [3] correct answer; numerical use of a correct sd/variance formula; correct answer
(ii) \(\begin{array}{ccccccc} x & 2 & 3 & 4 & 5 & 6 \\ \hline Pr & 9/36 & 6/36 & 13/36 & 4/36 & 4/36 \end{array}\) B1 B1 M1 A1 [4]
(iii) \(p = 1/3\); \(np = 8\); \(n = 24\); \(Var = 24 \times 1/3 \times 2/3 = 16/3\) (5.33)B1 M1 A1ft [3] correct \(p\); using \(np = 8\) to find \(n\) or \(8(1 - p)\) to find var, \(0
(i) mean = $11/6$ ($\frac{5}{6}$, 1.83); $sd = \sqrt{(1 + 1 + 4 + 9 + 9)/6 - (11/6)^2} = \sqrt{29/6}$ (0.898) | B1 M1 A1 [3] | correct answer; numerical use of a correct sd/variance formula; correct answer

(ii) $\begin{array}{c|cccccc} x & 2 & 3 & 4 & 5 & 6 \\ \hline Pr & 9/36 & 6/36 & 13/36 & 4/36 & 4/36 \end{array}$ | B1 B1 M1 A1 [4] | all correct $x$ values; P(2) and P(6) correct; considering more than 1 case for a sum of 3 or 4 or 5; P(3), P(4) and P(5) correct

(iii) $p = 1/3$; $np = 8$; $n = 24$; $Var = 24 \times 1/3 \times 2/3 = 16/3$ (5.33) | B1 M1 A1ft [3] | correct $p$; using $np = 8$ to find $n$ or $8(1 - p)$ to find var, $0<p<1$; correct answer, ft their $p$
4 The six faces of a fair die are numbered $1,1,1,2,3,3$. The score for a throw of the die, denoted by the random variable $W$, is the number on the top face after the die has landed.\\
(i) Find the mean and standard deviation of $W$.\\
(ii) The die is thrown twice and the random variable $X$ is the sum of the two scores. Draw up a probability distribution table for $X$.\\
(iii) The die is thrown $n$ times. The random variable $Y$ is the number of times that the score is 3 . Given that $\mathrm { E } ( Y ) = 8$, find $\operatorname { Var } ( Y )$.

\hfill \mbox{\textit{CAIE S1 2012 Q4 [10]}}