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    Binomial Distribution

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    1. The probability that an experiment has a successful outcome is 0.8. The experiment is to be repeated until five successful outcomes have occurred. What is the expected number of repetitions required? What is the variance?

    4. In a lot of 10 components, 2 are sampled at random for inspection. Assume that in fact exactly 2 of the 10 components in the lot are defective. Let X be the number of sampled components that are defective.

    a. Find P(X=0).
    b. Find P(X=1).
    c. Find P(X=2).
    d. Find the probability mass function of X.
    e. Find the mean of X.
    f. Find the standard deviation of X.

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    https://brainmass.com/statistics/probability/probability-experiment-successful-outcome-171179

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    1. The probability that an experiment has a successful outcome is 0.8. The experiment is to be repeated until five successful outcomes have occurred. What is the expected number of repetitions required? What is the variance?

    Let X denotes the number of repetitions of the experiment required to get five successful outcomes. Then X can take values 5, 6, 7, ....
    Now the probability mass function (p.m.f) of X is given by,

    P[X=x] = P[ The number of repetitions required to get 5 successful outcome is x]
    = P[There are 4 successful ...

    Solution Summary

    The solution contains the identification of the probability distribution for a specified problem and the determination of mean, variance and p.m.f of the distribution.

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