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4 cards from this section. Quick, good the night before a test.
Define a random variable.
Think about examples like coin flips.
What does PDF stand for?
Consider the role of probability in measuring variability.
What does PDF stand for?
Think about how 'density' relates to probability.
True or false: The area under a PDF curve must equal 1.
Consider how probability is distributed over an interval.
A continuous random variable has a PDF given by f(x) = 3x² for 0 ≤ x ≤ 1. Calculate the probability that X is between 0.2 and 0.5.
Set up the integral carefully to find the area for the specified interval.
Given a Gaussian PDF, determine the mean and variance if the PDF is defined as f(x) = (1/√(2πσ²)) e^(-(x-μ)²/(2σ²)).
Think about the defining parameters of the Gaussian distribution.
6 more questions in this section. Enroll free to practise them all.
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