OCR S1 2005 January — Question 4 7 marks

Exam BoardOCR
ModuleS1 (Statistics 1)
Year2005
SessionJanuary
Marks7
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeOne unknown from sum constraint only
DifficultyEasy -1.3 This is a straightforward S1 question requiring only basic probability axioms (probabilities sum to 1) and standard formula application for expectation and variance. Part (i) involves simple fraction arithmetic, and part (ii) is routine calculation with no conceptual challenges—well below average A-level difficulty.
Spec5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables

4 The table below shows the probability distribution of the random variable \(X\).
\(x\)- 2- 1012
\(\mathrm { P } ( X = x )\)\(\frac { 1 } { 4 }\)\(\frac { 1 } { 5 }\)\(k\)\(\frac { 2 } { 5 }\)\(\frac { 1 } { 10 }\)
  1. Find the value of the constant \(k\).
  2. Calculate the values of \(\mathrm { E } ( X )\) and \(\operatorname { Var } ( X )\).

4 The table below shows the probability distribution of the random variable $X$.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | }
\hline
$x$ & - 2 & - 1 & 0 & 1 & 2 \\
\hline
$\mathrm { P } ( X = x )$ & $\frac { 1 } { 4 }$ & $\frac { 1 } { 5 }$ & $k$ & $\frac { 2 } { 5 }$ & $\frac { 1 } { 10 }$ \\
\hline
\end{tabular}
\end{center}

(i) Find the value of the constant $k$.\\
(ii) Calculate the values of $\mathrm { E } ( X )$ and $\operatorname { Var } ( X )$.

\hfill \mbox{\textit{OCR S1 2005 Q4 [7]}}