Check your understanding of this module before moving on.
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Checkpoint quiz 3 questions
A quick check on this module's key ideas before you move on
Question 01
In a dataset with one large outlier, why is the median often a better summary than the mean?
B is correct. The mean is sensitive to every value's exact magnitude, so one extreme outlier pulls it away from where most of the data sits. The median only cares about rank order, so it resists that pull.
Question 02
According to the Central Limit Theorem, what happens when you average many small, independent random effects?
B is correct. The CLT says sums or averages of many small independent effects converge toward a bell-shaped normal distribution, even if each individual effect isn't normally distributed at all.
Question 03
A model with high variance and low bias typically...
B is correct. High variance means the model is very sensitive to the specific data it happened to train on. Low bias means it isn't systematically wrong. Put together, that's a model whose individual predictions swing a lot from run to run, even though the average across many runs is close to correct.