Edexcel S1 — Question 2 9 marks

Exam BoardEdexcel
ModuleS1 (Statistics 1)
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicBivariate data
TypeCalculate r from summary statistics
DifficultyModerate -0.8 This is a straightforward application of the PMCC formula using given summary statistics. Students need only substitute values into a standard formula (no derivation required) and perform arithmetic calculations. The context interpretation in part (c) is minimal. This is easier than average as it's pure formula recall with no problem-solving or conceptual challenges.
Spec2.02c Scatter diagrams and regression lines2.05f Pearson correlation coefficient

  1. Plot a scatter diagram showing these data. The student wanted to investigate further whether or not her data provided evidence of an increase in temperature in June each year. Using \(Y\) for the number of years since 1993 and \(T\) for the mean temperature, she calculated the following summary statistics. $$\Sigma Y = 28 , \quad \Sigma T = 182.5 , \quad \Sigma Y ^ { 2 } = 140 , \quad \Sigma T ^ { 2 } = 4173.93 , \quad \Sigma Y T = 644.7 .$$
  2. Calculate the product moment correlation coefficient for these data.
  3. Comment on your result in relation to the student's enquiry.

AnswerMarks Guidance
(a) Scatter diagram with points plottedB3
(b) \(S_{YY} = 140 - \frac{28^2}{8} = 42\)M1
\(S_{YY} = 4173.93 - \frac{182.5^2}{8} = 10.64875\)M1
\(S_{YY} = 644.7 - \frac{28 \times 182.5}{8} = 5.95\)M1
\(r = \frac{5.95}{\sqrt{42 \times 10.64875}} = 0.2813\)M1 A1
(b) 8 pairs \(\therefore\) + 0.2813 is only weak evidence of June getting warmerB1 (9 marks total)
(a) Scatter diagram with points plotted | B3 |

(b) $S_{YY} = 140 - \frac{28^2}{8} = 42$ | M1 |

$S_{YY} = 4173.93 - \frac{182.5^2}{8} = 10.64875$ | M1 |

$S_{YY} = 644.7 - \frac{28 \times 182.5}{8} = 5.95$ | M1 |

$r = \frac{5.95}{\sqrt{42 \times 10.64875}} = 0.2813$ | M1 A1 |

(b) 8 pairs $\therefore$ + 0.2813 is only weak evidence of June getting warmer | B1 | (9 marks total)
\begin{enumerate}[label=(\alph*)]
\item Plot a scatter diagram showing these data.

The student wanted to investigate further whether or not her data provided evidence of an increase in temperature in June each year. Using $Y$ for the number of years since 1993 and $T$ for the mean temperature, she calculated the following summary statistics.

$$\Sigma Y = 28 , \quad \Sigma T = 182.5 , \quad \Sigma Y ^ { 2 } = 140 , \quad \Sigma T ^ { 2 } = 4173.93 , \quad \Sigma Y T = 644.7 .$$
\item Calculate the product moment correlation coefficient for these data.
\item Comment on your result in relation to the student's enquiry.
\end{enumerate}

\hfill \mbox{\textit{Edexcel S1  Q2 [9]}}