Mr. Jenkins is buying paint to paint the garage wall. He needs to know the area of the wall in order to know how much paint he w
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Answer:
0.3898 = 38.98% probability that there will be 4 failures
Step-by-step explanation:
A sequence of Bernoulli trials forms 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.
Let the probability of success on a Bernoulli trial be 0.26.
This means that
a. In five Bernoulli trials, what is the probability that there will be 4 failures?
Five trials means that
4 failures, so 1 success, and we have to find P(X = 1).
0.3898 = 38.98% probability that there will be 4 failures
Answer:
a.) P(HH|C)=2/5
Explanation:
Given following:
- P(HH) = 7
- P(C) = 10
- P(HH ∩ C) = 4
- P(HH ∪ C) = 13
Solving steps: