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2.2 L: Data presentation and interpretation

2.2 L: Data presentation and interpretation

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Question 70
a.

Identify two conditions under which it would be more appropriate to use Spearman’s rank correlation coefficient rather than the product moment correlation coefficient (PMCC) to analyze the relationship between two variables.

[2]
b.

A conservationist monitors the density of a rare orchid species, DDD (plants per m2m^2m2), and the local soil pH, ppp, across n=10n=10n=10 distinct plots in a meadow.

The Spearman’s rank correlation coefficient for the recorded data was found to be rs=0.655r_s = 0.655rs​=0.655.

Investigate, at the 5% level of significance, whether there is statistical evidence of any correlation between the density of orchids and soil pH. Explicitly state your null and alternative hypotheses and the critical value used.

[4]
c.

The product moment correlation coefficient (PMCC) for the same dataset was calculated as r=0.515r = 0.515r=0.515.

Determine, at the 5% level of significance, if there is evidence of a positive correlation between orchid density and soil pH. State your hypotheses clearly and include the relevant critical value.

[4]
Markscheme

2.2 L: Data presentation and interpretation Questions

  1. A Level
  2. /Maths
  3. /2.2 L: Data presentation and interpretation

244 exam-style questions on AQA A Level Maths 2.2 L: Data presentation and interpretation, covering 2.2.1 Single-variable data diagrams, 2.2.2 Scatter diagrams and correlation, 2.2.3 Central tendency, variation and standard deviation, 2.2.4 Outliers and cleaning data, and 2.2 L: Data presentation and interpretation. Each one has a worked solution and a mark scheme showing where the marks go.

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