A data scientist is evaluating a binary classifier for a medical diagnosis. The model has an AUC of 0.95. The scientist also examines the confusion matrix at a specific threshold and finds a high true positive rate but also a high false positive rate. What can be concluded about the model?

The model is poorly calibrated because it has a high false positive rate.

The model is useless because it has a high false positive rate.

The model is overfitting because the AUC is too high.

The model has excellent overall discrimination, but the chosen threshold may not be optimal for the specific clinical trade-off.

What is the primary purpose of an ANOVA test?

To determine if there is a significant difference between the means of two groups

To assess the relationship between two categorical variables

To measure the strength of association between two continuous variables

To compare the means of three or more groups

A data analyst is comparing the average delivery times of four different courier companies. An ANOVA test yields a p-value of 0.02. The analyst wants to know which specific courier companies differ from each other. What should the analyst do next?

Conclude that all four companies have different delivery times.

Conduct a post-hoc test, such as Tukey's HSD, to identify which pairs differ.

Conclude that the company with the lowest mean delivery time is significantly different from all others.

Conduct multiple independent t-tests between each pair of companies.

CompTIADataX

Domain 1Objective 1

Statistical Methods DY0-001 Practice Questions (Page 5)

Part of the Mathematics and statistics domain, which accounts for 17% of the DY0-001 exam. CompTIA does not publish an official question count, but from its 165-minute exam (~65–110 total, ~11–19 in this domain), expect 3–5 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

31questions here

7free pages

11concepts

17%of the exam

Questions 21–25

21expert · hard
A data scientist is evaluating a binary classifier for a medical diagnosis. The model has an AUC of 0.95. The scientist also examines the confusion matrix at a specific threshold and finds a high true positive rate but also a high false positive rate. What can be concluded about the model?
Select an answer first
22foundation · easy
What is the primary purpose of an ANOVA test?
Select an answer first
23expert · hard
A data analyst is comparing the average delivery times of four different courier companies. An ANOVA test yields a p-value of 0.02. The analyst wants to know which specific courier companies differ from each other. What should the analyst do next?
Select an answer first
24expert · hard
A data scientist is building a decision tree for a binary classification problem. A node contains 90 samples in class A and 10 samples in class B. What is the entropy of this node?
Select an answer first
25foundation · easy
A researcher wants to test whether there is an association between two categorical variables, such as gender and product preference. Which statistical test is most appropriate?
Select an answer first

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Statistical Methods DY0-001 Practice Questions (Page 5)

Questions 21–25

A data scientist is evaluating a binary classifier for a medical diagnosis. The model has an AUC of 0.95. The scientist also examines the confusion matrix at a specific threshold and finds a high true positive rate but also a high false positive rate. What can be concluded about the model?

What is the primary purpose of an ANOVA test?

A data analyst is comparing the average delivery times of four different courier companies. An ANOVA test yields a p-value of 0.02. The analyst wants to know which specific courier companies differ from each other. What should the analyst do next?

A data scientist is building a decision tree for a binary classification problem. A node contains 90 samples in class A and 10 samples in class B. What is the entropy of this node?

A researcher wants to test whether there is an association between two categorical variables, such as gender and product preference. Which statistical test is most appropriate?

Keep studying — Mathematics and statistics