CAIE S1 2006 November — Question 2 5 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2006
SessionNovember
Marks5
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeOne unknown from sum constraint only
DifficultyEasy -1.3 This is a straightforward application of basic probability distribution properties: part (i) uses the fact that probabilities sum to 1 (simple algebra), and part (ii) requires standard formula application for expectation and variance. Both are routine textbook exercises with no problem-solving or conceptual challenge beyond recall and calculation.
Spec5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables

2 The discrete random variable \(X\) has the following probability distribution.
\(x\)01234
\(\mathrm { P } ( X = x )\)0.26\(q\)\(3 q\)0.050.09
  1. Find the value of \(q\).
  2. Find \(\mathrm { E } ( X )\) and \(\operatorname { Var } ( X )\).

(i) \(q + 3q + 0.26 + 0.05 + 0.09 = 1\)
\(q = 0.15\)
AnswerMarks Guidance
M1Equation with \(q\) in summing probs to 1 must be probs
A12 marks Correct answer
(ii) \(E(X) = 1.56\)
\(\text{Var}(X) = 0.15 + 1.8 + 0.45 + 1.44 - \text{mean}^2 = 1.41\)
AnswerMarks Guidance
B1 ft, M1Correct final answer, ft on wrong \(q\). Subst in \(\sum x^2 - \text{mean}^2\) formula
A13 marks Correct final answer
**(i)** $q + 3q + 0.26 + 0.05 + 0.09 = 1$

$q = 0.15$

| M1 | Equation with $q$ in summing probs to 1 must be probs |
| A1 | 2 marks | Correct answer |

**(ii)** $E(X) = 1.56$

$\text{Var}(X) = 0.15 + 1.8 + 0.45 + 1.44 - \text{mean}^2 = 1.41$

| B1 ft, M1 | Correct final answer, ft on wrong $q$. Subst in $\sum x^2 - \text{mean}^2$ formula |
| A1 | 3 marks | Correct final answer |

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2 The discrete random variable $X$ has the following probability distribution.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | }
\hline
$x$ & 0 & 1 & 2 & 3 & 4 \\
\hline
$\mathrm { P } ( X = x )$ & 0.26 & $q$ & $3 q$ & 0.05 & 0.09 \\
\hline
\end{tabular}
\end{center}

(i) Find the value of $q$.\\
(ii) Find $\mathrm { E } ( X )$ and $\operatorname { Var } ( X )$.

\hfill \mbox{\textit{CAIE S1 2006 Q2 [5]}}