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4 cards from this section. Quick, good the night before a test.
What is the difference between a discrete and a continuous random variable?
Think about examples of each type.
What is a Probability Distribution Function?
Consider how probabilities are defined over a range.
What is a random variable?
Consider how outcomes are expressed mathematically.
True or False: A Probability Distribution Function can take negative values.
What is the nature of probabilities?
A random variable X has a PDF given by f(x) = 2x for 0 ≤ x ≤ 1 and f(x) = 0 elsewhere. Calculate the mean and variance of X.
Use integration to solve for expected values.
Explain how one might simulate random variables for testing purposes in a stochastic process.
Think of statistical tools and methods for generating randomness.
6 more questions in this section. Enroll free to practise them all.
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