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2.5 Data presentation and interpretation

2.5 Data presentation and interpretation

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Question 151
a.

Identify two specific scenarios or data characteristics where employing Spearman’s rank correlation coefficient is preferable to the product moment correlation coefficient (PMCC).

[2]
b.

An agronomist investigates the relationship between soil acidity, AAA (measured in pH), and the total fruit yield, YYY (measured in kg), of a specific blueberry variety. A random sample of 10 plots was selected and the results recorded.

The calculated Spearman’s rank correlation coefficient for this data set is rs=−0.662r_s = -0.662rs​=−0.662.

Test, at the 5% level of significance, whether there is evidence of a correlation between soil acidity and fruit yield. Clearly state your hypotheses and the critical value used.

[3]
c.

The product moment correlation coefficient (PMCC) for the same 10 plots was calculated as r=−0.515r = -0.515r=−0.515.

Test, at the 5% level of significance, whether there is evidence of a negative correlation between the two variables. Clearly state your hypotheses and the critical value used.

[3]
Markscheme

2.5 Data presentation and interpretation Questions

  1. A Level
  2. /Maths
  3. /2.5 Data presentation and interpretation

278 exam-style questions on CCEA A Level Maths 2.5 Data presentation and interpretation, covering 2.5.1 Data presentation and interpretation, 2.5.2 Data presentation and interpretation, 2.5.3 Data presentation and interpretation, 2.5.4 Data presentation and interpretation, 2.5.5 Data presentation and interpretation, 2.5.6 Data presentation and interpretation, 2.5.7 Data presentation and interpretation, 2.5.8 Data presentation and interpretation, 2.5.9 Data presentation and interpretation, and 2.5 Data presentation and interpretation. Each one has a worked solution and a mark scheme showing where the marks go.

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