Interpret p-value for correlation test

A question is this type if and only if it provides a p-value and asks to interpret it or use it to reach a conclusion about correlation.

2 questions · Moderate -0.7

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OCR MEI Paper 2 2020 November Q13
7 marks Moderate -0.5
13 The pre-release material contains information concerning median house prices, recycling rates and employment rates. Fig. 13.1 shows a scatter diagram of recycling rate against employment rate for a random sample of 33 regions. \begin{figure}[h]
\includegraphics[alt={},max width=\textwidth]{cea67565-8074-4703-8e1a-09b98e380baf-14_629_1424_397_242} \captionsetup{labelformat=empty} \caption{Fig. 13.1}
\end{figure} The product moment correlation coefficient for this sample is 0.37154 and the associated \(p\)-value is 0.033. Lee conducts a hypothesis test at the \(5 \%\) level to test whether there is any evidence to suggest there is positive correlation between recycling rate and employment rate. He concludes that there is no evidence to suggest positive correlation because \(0.033 \approx 0\) and \(0.37154 > 0.05\).
  1. Explain whether Lee's reasoning is correct. Fig. 13.2 shows a scatter diagram of recycling rate against median house price for a random sample of 33 regions. \begin{figure}[h]
    \includegraphics[alt={},max width=\textwidth]{cea67565-8074-4703-8e1a-09b98e380baf-14_648_1474_1758_242} \captionsetup{labelformat=empty} \caption{Fig. 13.2}
    \end{figure} The product moment correlation coefficient for this sample is - 0.33278 and the associated \(p\)-value is 0.058 . Fig. 13.3 shows summary statistics for the median house prices for the data in this sample. \begin{table}[h]
    Statistics
    \(n\)33
    Mean465467.9697
    \(\sigma\)201236.1345
    \(s\)204356.2606
    \(\Sigma x\)15360443
    \(\Sigma x ^ { 2 }\)8486161617387
    Min243500
    Q1342500
    Median410000
    Q3521000
    Max1200000
    \captionsetup{labelformat=empty} \caption{Fig. 13.3}
    \end{table}
  2. Use the information in Fig. 13.3 and Fig. 13.2 to show that there are at least two outliers.
  3. Describe the effect of removing the outliers on
WJEC Unit 4 2018 June Q5
8 marks Moderate -0.8
Rebecca is a farmer who is monitoring prices for products to use on her farm. She records the prices of two products made from different grains, wheat and oats, at random points in time, to investigate whether there is any correlation. \includegraphics{figure_1} The product moment correlation coefficient for the data is \(0 \cdot 244\). There are 12 data points, and the \(p\)-value is \(0 \cdot 4447\).
  1. Comment on the correlation between the prices of Feed Wheat and Feed Oats. [2]
Rebecca also records the prices of two wheat products at random points in time, to investigate whether there is any correlation. \includegraphics{figure_2} The product moment correlation coefficient for the data is \(0 \cdot 653\). There are 12 data points.
  1. Stating your hypotheses clearly, test at the 5% level of significance whether there is any evidence of correlation between the prices of these two products. [5]
  2. Without referring to the positioning of the points on the graphs, suggest why the product moment correlation coefficient is higher for the second set of data. [1]