AQA Further AS Paper 2 Statistics Specimen — Question 1 1 marks

Exam BoardAQA
ModuleFurther AS Paper 2 Statistics (Further AS Paper 2 Statistics)
SessionSpecimen
Marks1
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Probability Distributions and Random Variables
TypeSingle-piece PDF with k
DifficultyEasy -1.2 This is a straightforward application of the fundamental property that a PDF must integrate to 1. Students simply integrate t/8 from 0 to k, set equal to 1, and solve for k. It's a single-step calculation with no conceptual difficulty beyond knowing the basic PDF property, and the multiple-choice format further reduces difficulty.
Spec5.03a Continuous random variables: pdf and cdf

1 The random variable \(T\) has probability density defined by $$\mathrm { f } ( t ) = \left\{ \begin{array} { c c } \frac { t } { 8 } & 0 \leq t \leq k \\ 0 & \text { otherwise } \end{array} \right.$$ Find the value of \(k\) [0pt] [1 mark] $$\begin{array} { l l l l } \frac { 1 } { 16 } & \frac { 1 } { 4 } & 4 & 16 \end{array}$$

Question 1:
AnswerMarks Guidance
\(4\)B1 Circles correct answer
## Question 1:

$4$ | B1 | Circles correct answer

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1 The random variable $T$ has probability density defined by

$$\mathrm { f } ( t ) = \left\{ \begin{array} { c c } 
\frac { t } { 8 } & 0 \leq t \leq k \\
0 & \text { otherwise }
\end{array} \right.$$

Find the value of $k$\\[0pt]
[1 mark]

$$\begin{array} { l l l l } 
\frac { 1 } { 16 } & \frac { 1 } { 4 } & 4 & 16
\end{array}$$

\hfill \mbox{\textit{AQA Further AS Paper 2 Statistics  Q1 [1]}}