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R Foundations for Data Analysis

Module 06 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 large gap between the mean and the median tells you…

2. Including n() in every grouped summary matters most because…

3. The mean of three group means equals the overall mean only when…

4. 'North accounts for a third of the waiting list' is a…

5. Keeping a Months reported column in a report table matters because…

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Answer Key and Explanations

Check these only after attempting every question.

1. B — the data is skewed, usually by extreme values

The gap is itself a finding. The mean uses every value's size; the median only its rank.

2. B — a group with very few rows will often top the ranking

Without the count, a mean of one observation looks exactly like a mean of twelve and the ranking reads as settled.

3. A — the groups have equal size

Averaging averages weights each group equally regardless of how much data it contains.

4. B — column percentage describing where the queue sits

It divides by the total waiting, so it depends on how large North is. North's own waiting rate may be the lowest of all.

5. B — it lets a reader judge whether the rate is comparable

A rate without its denominator invites a conclusion the data cannot support, and omitting the column is an invisible decision.

Practical Check

Apply this module to your own work: complete the module activity for *Descriptive Summaries and Basic Tables*, 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.