Edexcel S1 — Question 4

Exam BoardEdexcel
ModuleS1 (Statistics 1)
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicData representation
TypeDraw box plot from summary statistics
DifficultyEasy -1.2 This is a straightforward S1 question requiring students to construct a box plot from given five-number summary statistics and make basic comments about skewness. The outlier calculation is routine (IQR = 16, so 1.5×IQR = 24, making 63 an outlier), and the interpretation requires only standard textbook observations about positive skew. No problem-solving or novel insight needed—pure procedural application.
Spec2.02f Measures of average and spread2.02h Recognize outliers

4. Aeroplanes fly from City \(A\) to City \(B\). Over a long period of time the number of minutes delay in take-off from City \(A\) was recorded. The minimum delay was 5 minutes and the maximum delay was 63 minutes. A quarter of all delays were at most 12 minutes, half were at most 17 minutes and \(75 \%\) were at most 28 minutes. Only one of the delays was longer than 45 minutes. An outlier is an observation that falls either \(1.5 \times\) (interquartile range) above the upper quartile or \(1.5 \times\) (interquartile range) below the lower quartile.
  1. On the graph paper opposite draw a box plot to represent these data.
  2. Comment on the distribution of delays. Justify your answer.
  3. Suggest how the distribution might be interpreted by a passenger who frequently flies from City \(A\) to City \(B\). \includegraphics[max width=\textwidth, alt={}, center]{3d4f7bfb-b235-418a-9411-a4d0b3188254-008_1190_1487_278_223}

Question 4:
AnswerMarks
\((X = 3) \cap (X = 1)\)\(0.1 \times 0.3 = 0.03\)
\((X = 1) \cap (X = 3)\)\(0.3 \times 0.1 = 0.03\)
\((X = 2) \cap (X = 2)\)\(0.2 \times 0.2 = 0.04\)
Question 4:

$(X = 3) \cap (X = 1)$ | $0.1 \times 0.3 = 0.03$

$(X = 1) \cap (X = 3)$ | $0.3 \times 0.1 = 0.03$

$(X = 2) \cap (X = 2)$ | $0.2 \times 0.2 = 0.04$
4. Aeroplanes fly from City $A$ to City $B$. Over a long period of time the number of minutes delay in take-off from City $A$ was recorded. The minimum delay was 5 minutes and the maximum delay was 63 minutes. A quarter of all delays were at most 12 minutes, half were at most 17 minutes and $75 \%$ were at most 28 minutes. Only one of the delays was longer than 45 minutes.

An outlier is an observation that falls either $1.5 \times$ (interquartile range) above the upper quartile or $1.5 \times$ (interquartile range) below the lower quartile.
\begin{enumerate}[label=(\alph*)]
\item On the graph paper opposite draw a box plot to represent these data.
\item Comment on the distribution of delays. Justify your answer.
\item Suggest how the distribution might be interpreted by a passenger who frequently flies from City $A$ to City $B$.\\

\includegraphics[max width=\textwidth, alt={}, center]{3d4f7bfb-b235-418a-9411-a4d0b3188254-008_1190_1487_278_223}
\end{enumerate}

\hfill \mbox{\textit{Edexcel S1  Q4}}
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