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5 cards from this section. Quick, good the night before a test.
Define a random variable.
Think about what a random experiment is.
What is a discrete random variable?
Consider examples like rolling dice or coin tosses.
What type of random variable can take on a countable number of values?
Recall the definitions of each type.
True or False: The total probability across all values for a PMF sums to 1.
Think about the definition of probability for random variables.
A factory produces lightbulbs with a probability of 0.02 being defective. Let X be the number of defective lightbulbs in a batch of 100. Model X and determine its PMF.
Relate the problem to a binomial scenario with trials.
A continuous random variable X has a distribution defined from a PDF of f(x) = 4x for 0 < x < 0.5. Calculate the expected value E(X).
Set up the integral for the expected value using the PDF.
6 more questions in this section. Enroll free to practise them all.
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