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.
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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 trials 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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