A data scientist fits a logistic regression model to predict customer churn. The model has an accuracy of 92% on the training data, but the dataset has only 5% churners. Which additional metric would be most informative for evaluating the model's performance?

The mean of the outcome variable

How is the bootstrap standard error of a statistic estimated?

By taking the range of the bootstrap distribution and dividing by four

By computing the standard deviation of the bootstrap distribution of the statistic

By computing the mean of the bootstrap distribution and dividing by the square root of the sample size

By computing the difference between the bootstrap mean and the original sample statistic

How is a percentile-based bootstrap confidence interval constructed?

By computing the mean plus and minus two standard deviations of the bootstrap distribution

By using the original sample's mean and its standard error to form the interval

By taking the 2.5th and 97.5th percentiles of the bootstrap distribution of the statistic

By taking the minimum and maximum values from the bootstrap distribution

In the linear regression model y = β0 + β1x + ε, what does the coefficient β1 represent?

The expected change in y for a one-unit increase in x, holding other factors constant

The proportion of variance in y explained by x

The correlation between x and y

Which scenario is best suited for logistic regression?

Predicting whether a patient has a disease (yes/no) based on test results

Predicting the number of hospital visits per year from health indicators

Predicting which of three treatment plans a patient will choose

Predicting a patient's blood pressure (continuous) from age and weight

Python InstitutePCAD - Certified Associate in Data Analytics with Python

Domain 3Objective 2

Inferential Statistics PCAD-31 Practice Questions (Page 4)

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 33 practice questions to prepare you well beyond it. (estimate)

33questions here

7free pages

12concepts

8.3%of the exam

Questions 16–20

16expert · hard
A data scientist fits a logistic regression model to predict customer churn. The model has an accuracy of 92% on the training data, but the dataset has only 5% churners. Which additional metric would be most informative for evaluating the model's performance?
Select an answer first
17foundation · easy
How is the bootstrap standard error of a statistic estimated?
Select an answer first
18foundation · easy
How is a percentile-based bootstrap confidence interval constructed?
Select an answer first
19foundation · easy
In the linear regression model y = β0 + β1x + ε, what does the coefficient β1 represent?
Select an answer first
20foundation · easy
Which scenario is best suited for logistic regression?
Select an answer first

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