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Free R statistics course

Statistical Data Analytics with R

Module 07 Knowledge Check

5 questions. Pass mark 4 out of 5. Answer every question before checking the answer key below, then retry after reading the feedback.

1. The effect size that usually needs least explaining is…

2. Cohen's d can differ between two studies with the same raw difference because…

3. Risk ratios and odds ratios agree closely only when…

4. Two studies both reject the null; the smaller one's interval is five times wider. This means…

5. A 0.348-point difference, p = 0.0002, with the whole interval below a pre-set 2-point bar is…

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Answer Key and Explanations

Check these only after attempting every question.

1. B — the raw difference in the reader's own units

'15.1 ms faster, interval 4.5 to 25.7' requires no conventions and no translation.

2. B — it divides by the spread, which differs

In the lesson d moved from 0.28 to 0.74 largely because the population was less variable.

3. B — the outcome is rare

With a common outcome the lesson's risk ratio of 1.5 came with an odds ratio of 2.25.

4. B — only the larger study tells you the effect size

The small study's interval spanned trivial to large. It established existence and nothing else.

5. B — evidence that a meaningful effect has been ruled out

The data does not demonstrate a worthwhile effect; it excludes one.

Practical Check

Apply this module to your own work: complete the module activity for *Effect Sizes and Practical Significance*, then write one sentence naming what your result shows and one naming what it does not.

Strong Answer Pattern

A strong answer names the task, the evidence used, the check performed, and the remaining limitation. It avoids "proved", "guaranteed", or "always" unless the evidence genuinely supports it.