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Free R statistics course

Statistical Data Analytics with R

Module 01 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. A statistical project needs an analysis-plan folder because…

2. Separating the analysis script from the Quarto report means…

3. set.seed() belongs…

4. A results table should contain…

5. An exclusion rule written as a named constant with a printed row count…

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Answer Key and Explanations

Check these only after attempting every question.

1. B — choices made after seeing the data are unfalsifiable

There is always a version of the test choice that gives the answer you hoped for. Dating the plan is what rules that out.

2. B — the report cannot contain a number no code produced

The report cites saved objects. It has no way to invent a figure.

3. B — once at the top of the script

Seeding inside a loop makes every iteration identical, so the simulation has no variation at all.

4. B — every planned comparison

A reader who cannot see how many tests were run cannot judge any of them.

5. B — makes an invisible judgement reviewable

The exclusion in the lesson moved abandonment from 41.7% to 12.5%. Done by hand in a spreadsheet, nobody could see it.

Practical Check

Apply this module to your own work: complete the module activity for *The R Statistical Workflow*, 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.