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Free Python statistics course

Statistical Data Analytics with Python

Module 12 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 two report sections most often dropped are…

2. Putting the analysis in importable modules rather than notebook cells means…

3. A chart accompanying a significant difference should ideally show…

4. An interval of [+0.06, +3.66] pp against a pre-set 2 pp bar is…

5. The conclusive test of reproducibility is…

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Answer Key and Explanations

Check these only after attempting every question.

1. B — uncertainty and limitations

They are what distinguishes an analysis from an argument.

2. B — the same code can be unit-tested and reused by a job or another report

A notebook cell cannot be imported. The report then cites return values through inline expressions.

3. B — the distributions, including their overlap

The group SDs were around 9 against a difference of 3.24 — real, reliable and small relative to individual variation.

4. B — a real effect of uncertain importance

It excludes zero but straddles the bar, so the data cannot say whether the effect clears the threshold.

5. B — deleting the outputs, restarting the kernel, re-running and comparing

Without restarting, objects still in memory make code appear to work when it depends on a step that no longer exists.

Practical Check

Apply this module to your own work: complete the module activity for *Capstone: Statistical Report*, 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.