A data analyst is evaluating the distribution of customer satisfaction scores (on a scale of 1 to 10). The calculated kurtosis is 5.0. Which statement correctly describes the shape of this distribution?

The distribution is negatively skewed, with a long tail to the left.

The distribution is perfectly normal, with kurtosis equal to 0.

The distribution has heavy tails and a sharp peak, indicating more extreme values than a normal distribution.

The distribution has light tails and a flat peak, indicating fewer extreme values than a normal distribution.

A Pearson correlation coefficient of -0.85 between two variables indicates what?

A weak negative linear relationship

A strong positive linear relationship

A strong negative linear relationship

A data analyst is analyzing the distribution of response times for a web application. The 10th percentile is 200 ms, and the 90th percentile is 800 ms. The analyst wants to report a measure of the typical spread of the middle 80% of the data. Which measure should the analyst use, and what is its value?

Interquartile range (IQR), 600 ms

10th-90th percentile range, 600 ms

Python InstitutePCAD - Certified Associate in Data Analytics with Python

Domain 3Objective 1

Descriptive Statistics PCAD-31 Practice Questions (Page 1)

Part of the Statistical Analysis domain, which accounts for 8.3% of the PCAD-31 exam. Python Institute does not publish an official question count, but from its 60-minute exam (~25–40 total, ~2–2 in this domain), expect 1–1 from this objective — we provide 14 practice questions to prepare you well beyond it. (estimate)

14questions here

3free pages

7concepts

8.3%of the exam

Questions 1–5

1expert · hard
A data analyst is analyzing the salaries of employees in a small tech company. The dataset includes 10 employees with the following annual salaries (in thousands): 50, 55, 60, 62, 65, 65, 70, 75, 80, 200. The analyst wants to report a 'typical' salary to the management. Which measure of central tendency is most appropriate, and what is its value?
Select an answer first
2application · medium
A data analyst is evaluating the distribution of customer satisfaction scores (on a scale of 1 to 10). The calculated kurtosis is 5.0. Which statement correctly describes the shape of this distribution?
Select an answer first
3foundation · easy
A Pearson correlation coefficient of -0.85 between two variables indicates what?
Select an answer first
4application · medium
A researcher is studying the relationship between temperature and ice cream sales. The covariance between temperature and sales is 120, and the standard deviations are 10 for temperature and 15 for sales. What is the Pearson correlation coefficient?
Select an answer first
5expert · hard
A data analyst is analyzing the distribution of response times for a web application. The 10th percentile is 200 ms, and the 90th percentile is 800 ms. The analyst wants to report a measure of the typical spread of the middle 80% of the data. Which measure should the analyst use, and what is its value?
Select an answer first

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Descriptive Statistics PCAD-31 Practice Questions (Page 1)

Questions 1–5

A data analyst is evaluating the distribution of customer satisfaction scores (on a scale of 1 to 10). The calculated kurtosis is 5.0. Which statement correctly describes the shape of this distribution?

A Pearson correlation coefficient of -0.85 between two variables indicates what?

A researcher is studying the relationship between temperature and ice cream sales. The covariance between temperature and sales is 120, and the standard deviations are 10 for temperature and 15 for sales. What is the Pearson correlation coefficient?

Keep studying — Statistical Analysis