Biologists estimate that a randomly selected baby elk has a 44% chance of surviving to adulthood. Assume this estimate is correct. Suppose researchers choose 7 baby elk at random to monitor. Let X = the number that survive to adulthood. Does this scenario describe a binomial setting? Justify your answer. This is not a binomial setting. The probability of success is not the same for each trial. This is not a binomial setting. The number of trails are not fixed in advance. This is a binomial setting and X has a binomial distribution with n = 7 and p = 0.44. This is not a binomial setting. The given scenario is not binary. This is not a binomial setting. We cannot reasonably assume that the outcomes are independent.

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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Biologists estimate that a randomly selected baby elk has a 44% chance of surviving to adulthood. Assume this estimate is
correct. Suppose researchers choose 7 baby elk at random to monitor. Let X = the number that survive to adulthood.
Does this scenario describe a binomial setting? Justify your answer.
This is not a binomial setting. The probability of success is not the same for each trial.
This is not a binomial setting. The number of trails are not fixed in advance.
This is a binomial setting and X has a binomial distribution with n = 7 and p = 0.44.
This is not a binomial setting. The given scenario is not binary.
This is not a binomial setting. We cannot reasonably assume that the outcomes are independent.
Transcribed Image Text:Biologists estimate that a randomly selected baby elk has a 44% chance of surviving to adulthood. Assume this estimate is correct. Suppose researchers choose 7 baby elk at random to monitor. Let X = the number that survive to adulthood. Does this scenario describe a binomial setting? Justify your answer. This is not a binomial setting. The probability of success is not the same for each trial. This is not a binomial setting. The number of trails are not fixed in advance. This is a binomial setting and X has a binomial distribution with n = 7 and p = 0.44. This is not a binomial setting. The given scenario is not binary. This is not a binomial setting. We cannot reasonably assume that the outcomes are independent.
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