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A series of questions and answers related to the binomial distribution, focusing on calculating probabilities of success and failure in a set number of independent trials. It includes examples involving a basketball player attempting to make shots, illustrating how to calculate probabilities for specific outcomes, such as the probability of making a certain number of shots out of a given number of attempts, or the probability of succeeding at least once. The document also covers calculating the mean and variance of a binomial distribution, and determining the number of trials needed to achieve a desired probability of success. This is useful for students studying probability and statistics, providing practical examples and solutions to reinforce their understanding of binomial distribution concepts. Suitable for high school and early university level.
Typology: Quizzes
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Suppose a basketball player is trying to put the ball into the basket. She tries 6 times. Assume that the trial are independent. Suppose the probability of putting the ball into the basket in a single attempt is 0. a) What is the probability of failing to put the ball into the basket in the first attempt? ANS: 0. b) Find the probability of throwing the ball into the basket successfully in both 1st^ and 2nd attempt. ANS: 0. c) Find the probability of putting the ball into the basket successfully in 2 out of the first 3 attempts. Let’s consider all 6 trials. Let X be the random variable. X = number of successes in 6 trials Here, we call X as binomial random variable We write it as:
d) Find the probability of throwing the ball into the basket in 4 out of 6 trials. We also denote this probability as P(X = 4) e) Find the probability that she never succeeds. (in 6 trials) ANS: 0. In general: Probability Distribution Table:
j)
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