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Free Python statistics course

Statistical Data Analytics with Python

Module 03 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. np.std(x) and pd.Series(x).std() differ because…

2. On skewed money or duration data the more robust pair is…

3. df.groupby('depot') on a frame where some rows have a missing depot…

4. Two 95% confidence intervals that overlap…

5. An honest statistical sentence contains…

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Answer Key and Explanations

Check these only after attempting every question.

1. B — their default ddof differs: 0 against 1

On 61 delivery times that gave 26.74 against 26.97, and the gap grows as n shrinks.

2. B — median and IQR

One value in 61 nearly halved the standard deviation while the median moved by 0.35.

3. B — silently drops those rows

82 rows in, 81 counted. dropna=False keeps them visible.

4. B — are compatible with a clearly significant difference

In the lesson the intervals overlapped while the difference interval was [0.87, 9.13] with p = 0.0186.

5. B — the estimate, the interval, the p-value and n

'Significant' replaces four pieces of information with none of them.

Practical Check

Apply this module to your own work: complete the module activity for *Descriptive Statistics and Statistical Visualisation*, 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.