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4 cards from this section. Quick, good the night before a test.
Explain what non-negativity means in the context of PDFs.
Think about the concept of probability.
What is normalization of a PDF?
Consider how probabilities should sum up.
What does normalization ensure for a PDF?
Remember that probabilities must always have a sum.
True or False: The mean of a random variable gives us its most common value.
Consider what average means versus frequency.
If a PDF is given as f(x) = 1/2 for 0 ≤ x ≤ 2, calculate the mean and variance.
You may use integration techniques.
Find the probability that a random variable X, described by the PDF f(x) = 3x² for 0 ≤ x ≤ 1, lies between 0.5 and 1.
Remember to set up your integral limits correctly.
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