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2 cards from this section. Quick, good the night before a test.
Define binomial distribution in your own words.
Think about experiments with two results.
What are the required conditions for a binomial distribution?
Recall the definitions of independent trials and fixed trials.
What does the binomial distribution model?
Focus on what the model is designed to predict.
True or False: A binomial distribution can have variable probabilities of success during independent trials.
Consider the definitions of binomial conditions.
In a series of 20 true-or-false questions, if a student guesses randomly, define the binomial distribution model and calculate the expected number of correct answers.
Recall the formula for expected value and the probabilities involved.
Your friend suggests a game where getting heads earns a point for 5 tosses of a fair coin. Assuming he plays 20 times, how would you set up the binomial distribution model, and what would be the variance?
Think about the parameters and how they interact to determine variance.
4 more questions in this section. Enroll free to practise them all.
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