A data analyst builds a linear regression model to predict house prices. The model has an R-squared of 0.85. The analyst adds a new feature and the R-squared increases to 0.86. Which conclusion is most appropriate?

The new feature is definitely important because R-squared increased.

The new feature may not be practically useful despite the small R-squared increase.

The model is now overfitted because R-squared increased.

The new feature is statistically significant because R-squared increased.

A data scientist is analyzing income data from a sample of 1,000 residents. The distribution is heavily right-skewed with a few very high incomes. Which measure of central tendency and dispersion would be most robust and informative for this skewed data?

Median and interquartile range (IQR)

GIAC Machine Learning Engineer

Domain 1Objective 4

Statistics Fundamentals GMLE Practice Questions (Page 4)

Part of the Foundational Data Science and Statistics domain, which makes up ~41% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 180-minute exam (~70–120 total, ~29–49 in this domain), expect 7–12 from this objective — we provide 49 practice questions to prepare you well beyond it. (estimate)

49questions here

10free pages

10concepts

Questions 16–20

16application · medium
A call center receives an average of 5 calls per minute. The number of calls in a minute follows a Poisson distribution. What is the probability of receiving exactly 3 calls in a given minute? (Use e≈2.718)
Select an answer first
17application · medium
A data scientist is analyzing a dataset of transaction amounts. The mean is $120, the median is $80, and the standard deviation is $50. Which measure of central tendency is most robust to outliers for this dataset?
Select an answer first
18application · medium
A data analyst builds a linear regression model to predict house prices. The model has an R-squared of 0.85. The analyst adds a new feature and the R-squared increases to 0.86. Which conclusion is most appropriate?
Select an answer first
19foundation · easy
Which measure quantifies the magnitude of an effect independent of sample size?
Select an answer first
20application · medium
A data scientist is analyzing income data from a sample of 1,000 residents. The distribution is heavily right-skewed with a few very high incomes. Which measure of central tendency and dispersion would be most robust and informative for this skewed data?
Select an answer first

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Statistics Fundamentals GMLE Practice Questions (Page 4)

Questions 16–20

A call center receives an average of 5 calls per minute. The number of calls in a minute follows a Poisson distribution. What is the probability of receiving exactly 3 calls in a given minute? (Use e≈2.718)

A data scientist is analyzing a dataset of transaction amounts. The mean is $120, the median is $80, and the standard deviation is $50. Which measure of central tendency is most robust to outliers for this dataset?

A data analyst builds a linear regression model to predict house prices. The model has an R-squared of 0.85. The analyst adds a new feature and the R-squared increases to 0.86. Which conclusion is most appropriate?

Which measure quantifies the magnitude of an effect independent of sample size?

A data scientist is analyzing income data from a sample of 1,000 residents. The distribution is heavily right-skewed with a few very high incomes. Which measure of central tendency and dispersion would be most robust and informative for this skewed data?

Keep studying — Foundational Data Science and Statistics