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2.5 Statistical Hypothesis Testing

2.5 Statistical Hypothesis Testing

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Question 94
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

2.5 Statistical Hypothesis Testing Questions

  1. A Level
  2. /Maths
  3. /2.5 Statistical Hypothesis Testing

316 exam-style questions on OCR A Level Maths 2.5 Statistical Hypothesis Testing, covering 2.5.1 The language of hypothesis testing, 2.5.2 Hypothesis test for a binomial proportion, 2.5.3 Inference and significance level, 2.5.4 Sample mean as a random variable (A-level only), 2.5.5 Hypothesis test for the mean of a normal distribution (A-level only), 2.5.6 Pearson's product-moment correlation coefficient, and 2.5.7 Hypothesis test using Pearson's coefficient (A-level only). Each one has a worked solution and a mark scheme showing where the marks go.

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