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2 cards from this section. Quick, good the night before a test.
What parameters define a binomial distribution?
Think about what characteristics uniquely define a binomial experiment.
Define success probability in a binomial context.
Consider how likely a specific outcome is in your trials.
What is the continuity correction?
It involves adjusting the values to reflect continuity.
Given p = 0.4 in a binomial distribution, what is q?
Think about the total probability adding up to 1.
You have a football team with 60% winning chances. If they play 50 matches, what is the probability that they win more than 30 matches?
Remember to apply continuity correction while calculating probabilities.
A factory produces light bulbs, with a 2% rate of defects. What is the probability of getting at least 3 defective bulbs in a batch of 200?
Consider using complimentary probabilities for calculations.
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