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
What is the "in" for in your equation? Repost.
Answer:
5 inches is 12.7 centimeters
Answer:
I am sorry, I do not know what Rational Coefficients are but y=12.5.
Step-by-step explanation:
If you have 1.2y=15 then you divide both answers by 1.2 and then you get y=12.5. Hope this helps, Let me know if correct!!