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.
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.
Answer:
Step-by-step explanation:
We want to get x alone so we need to get rid of the 7 in front of it.
7x=-27
Divide each side by 7
x= -27/7
This can't be simplified anymore so this is your answer.
Answer:
9043.20 cm^3
Step-by-step explanation:
volume of can = π r^2 h
= (3.14) (12)^2 (20)
=9043.2 cm^3
Well the +7 also effects your graph but the coefficient 4 determines the stretch or compression of your graph. A higher coefficient compresses your graph more.
Answer:
A -3b +4
Step-by-step explanation:
1/2 (2A - 6b + 8)
1/2 *2A - 1/2 *6b +1/2 *8
A -3b +4