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 would go to 43.6
B would go to 43.5
C would go to 43.60
D would go to 43.59
i think...
Step-by-step explanation:
Answer:
2263.74
Step-by-step explanation:
If they're travelling towards each other;
Effective speed = 75+55 = 130
Distance = 338m
Time= distance/ speed
T= 338/130
T= 2.6 hrs
He had a profit of $2. Made a $1 each time he sold it.