Answer:
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.