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.

b i think

step-by-step explanation:

not really sure

1/3

step-by-step explanation:

to find this, you can divide 12 by 4 which is 3 or you can multiply 4 until you reach 12 (4x3=12). both should give you 3, meaning theres three times less bananas than there are oranges.