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.
[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]
In which [tex]C_{n,x}[/tex] is the number of different combinations of x objects from a set of n elements, given by the following formula.
[tex]C_{n,x} = \frac{n!}{x!(n-x)!}[/tex]
And p is the probability of X happening.
In this problem, we have that:
[tex]n = 5, p = 0.3[/tex]
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).
[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]
[tex]P(X = 1) = C_{5,1}.(0.3)^{1}.(0.7)^{4} = 0.3601[/tex]
36.01% probability that there will be 4 failures.