What does a p-value represent in hypothesis testing?

The probability that the null hypothesis is true

The probability of observing the test statistic, or something more extreme, assuming the null hypothesis is true

The probability of making a Type I error

The probability that the alternative hypothesis is true

A data analyst builds two linear regression models to predict house prices. Model A has an R-squared of 0.85 and includes 5 predictors. Model B has an R-squared of 0.86 and includes 12 predictors. Both models are trained on the same dataset. Which model is likely to generalize better to new data?

Model A, because it has a lower R-squared

Model B, because it has more predictors

Model A, because the lower R-squared is offset by fewer predictors

Model B, because it has a higher R-squared

A data scientist is comparing two regression models for predicting sales. Model A has an adjusted R-squared of 0.75 and an AIC of 500. Model B has an adjusted R-squared of 0.74 and an AIC of 480. Which model should be preferred?

Model B, because it has a higher adjusted R-squared.

Model A, because it has a lower AIC.

Model B, because the lower AIC indicates a better trade-off between fit and complexity.

Model A, because it has a higher adjusted R-squared.

CompTIADataX

Domain 1Objective 1

Statistical Methods DY0-001 Practice Questions (Page 6)

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 26–30

26foundation · easy
What does a p-value represent in hypothesis testing?
Select an answer first
27application · medium
A data analyst builds two linear regression models to predict house prices. Model A has an R-squared of 0.85 and includes 5 predictors. Model B has an R-squared of 0.86 and includes 12 predictors. Both models are trained on the same dataset. Which model is likely to generalize better to new data?
Select an answer first
28expert · hard
A data scientist is comparing two regression models for predicting sales. Model A has an adjusted R-squared of 0.75 and an AIC of 500. Model B has an adjusted R-squared of 0.74 and an AIC of 480. Which model should be preferred?
Select an answer first
29foundation · easy
A data analyst wants to compare the average test scores of two independent groups of students who were taught using different methods. Which statistical test is most appropriate for this comparison?
Select an answer first
30application · medium
A data scientist is building a decision tree to classify emails as 'spam' or 'not spam'. A node contains 8 spam and 8 not-spam emails. What is the entropy of this node?
Select an answer first

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Statistical Methods DY0-001 Practice Questions (Page 6)

Questions 26–30

What does a p-value represent in hypothesis testing?

A data analyst builds two linear regression models to predict house prices. Model A has an R-squared of 0.85 and includes 5 predictors. Model B has an R-squared of 0.86 and includes 12 predictors. Both models are trained on the same dataset. Which model is likely to generalize better to new data?

A data scientist is comparing two regression models for predicting sales. Model A has an adjusted R-squared of 0.75 and an AIC of 500. Model B has an adjusted R-squared of 0.74 and an AIC of 480. Which model should be preferred?

A data analyst wants to compare the average test scores of two independent groups of students who were taught using different methods. Which statistical test is most appropriate for this comparison?

A data scientist is building a decision tree to classify emails as 'spam' or 'not spam'. A node contains 8 spam and 8 not-spam emails. What is the entropy of this node?

Keep studying — Mathematics and statistics