Which of the following is not a characteristic of a binomial probability distribution?
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A. B. C. D. E.B
The binomial distribution does not state that outcomes have to come from a certain number of trials.
The correct answer is D. All of these answers are characteristics of the binomial distribution.
A binomial probability distribution is a discrete probability distribution that models the number of successful outcomes in a fixed number of independent Bernoulli trials, where each trial has only two possible outcomes: success or failure.
Now, let's analyze each statement to understand why it is a characteristic of the binomial distribution:
A. Probability of success remains constant from trial to trial: In a binomial distribution, the probability of success (denoted as "p") remains constant from trial to trial. This means that the probability of obtaining a success on any given trial is the same throughout all the trials.
B. Each outcome results from two trials: In a binomial distribution, each outcome is the result of two mutually exclusive and exhaustive possibilities, typically labeled as "success" and "failure." These two outcomes are repeated for each trial in the experiment.
C. Each trial is independent: The binomial distribution assumes that each trial is independent, meaning that the outcome of one trial does not affect the outcome of any other trial. This assumption is essential for the binomial distribution to hold.
D. All of these answers are characteristics of the binomial distribution: This option states that all of the previous statements (A, B, and C) are characteristics of the binomial distribution. This is the correct answer because all three statements are indeed true for a binomial distribution.
E. Each outcome is mutually exclusive: This statement is not correct. The outcomes in a binomial distribution are not mutually exclusive because an outcome can be either a success or a failure. However, mutually exclusive outcomes refer to situations where the occurrence of one event excludes the occurrence of another event. In the case of a binomial distribution, both success and failure can occur, and they are not mutually exclusive.
In summary, the characteristic that is not true for a binomial probability distribution is E: Each outcome is mutually exclusive.