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5 cards from this section. Quick, good the night before a test.
Define a moment in the context of probability.
Think about how moments summarize distributions.
What is the first raw moment?
Recall what mean signifies in a distribution.
What is the first moment also called?
Think about what the mean indicates.
True or False: The second central moment is always zero.
Recall what variance represents in data.
Given a distribution with moments μ' = 5 and μ'' = 30, find the variance.
Use the relationship between raw moments to calculate variance.
For a skewed distribution with a mean of 10 and skewness of 2, how would you describe its shape?
Remember how skewness indicates the asymmetry of a distribution.
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