Let the probability of success on a Bernoulli trial be 0.30. a. In five Bernoulli trials, what is the probability that there will be 4 failures? (Do not round intermediate calculations. Round your final

36.01% probability that there will be 4 failures.

Step-by-step explanation:

A sequence of Bernoulli trials is the binomial probability distribution.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

In which is the number of different combinations of x objects from a set of n elements, given by the following formula.

And p is the probability of X happening.

In this problem, we have that:

a. In five Bernoulli trials, what is the probability that there will be 4 failures?

This is 4 failures and 5-4 = 1 success

This is P(X = 1).

36.01% probability that there will be 4 failures.

answer: evaluate the objective function at each vertex to determine which - and -values, if any, maximize or minimize the function. example: find the minimum value and maximum value of the objective function f ( x , y ) = 4 x + 5 y , subject to the following constraints

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step-by-step explanation: