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Free R statistics course

Statistical Data Analytics with R

Module 02 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. Six rows from three users means n is…

2. Missingness that is unbalanced between groups is…

3. Treating three measurements from one person as three independent observations…

4. If a trial's arms are named placebo, dose_low and dose_high, R's default reference is…

5. A failed pre-test check on the analysis table should lead to…

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Answer Key and Explanations

Check these only after attempting every question.

1. C — 6 or 3, depending on the stated unit of analysis

The same data supports two sample sizes, and every interval and p-value depends on which one you meant.

2. B — evidence that it may not be random

Complete-case analysis assumes missingness is unrelated to the outcome. An imbalance is evidence against that.

3. B — narrows the interval beyond what the data earns

It inflates n, shrinks the standard error and always makes the result look stronger. In the lesson the interval was 60% too narrow.

4. B — dose_high, alphabetically first

Alphabetical order puts dose_high first, so every coefficient silently compares against the highest dose.

5. B — a question for the data owner

A duplicated id or an undersized group will not stop t.test() returning a confident answer.

Practical Check

Apply this module to your own work: complete the module activity for *Preparing Data for Statistical Analysis*, 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.