Identify two specific scenarios or data characteristics where employing Spearman’s rank correlation coefficient is preferable to the product moment correlation coefficient (PMCC).
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.
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.
355 exam-style questions on OCR (MEI) A Level Maths 2.5 Statistical Hypothesis Testing, covering 2.5.1 Process and language of hypothesis testing, 2.5.2 When to apply 1-tail and 2-tail tests, 2.5.3 Significance level and incorrect rejection, 2.5.4 Null and alternative hypotheses (binomial), 2.5.5 Conduct a binomial hypothesis test, 2.5.6 Critical and acceptance regions (binomial), 2.5.7 Distribution of the sample mean (A-level only), 2.5.8 Hypothesis test for a single mean (A-level only), 2.5.9 Critical and acceptance regions (mean) (A-level only), 2.5.10 Correlation as closeness to a straight line (A-level only), 2.5.11 Inference using a correlation coefficient (A-level only), and 2.5 Statistical Hypothesis Testing. Each one has a worked solution and a mark scheme showing where the marks go.