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:
she spent $1782
Step-by-step explanation:
first we have to find out her total money then minus 990
to get that 990 /5 then multipliedby 6 is 1188
1188 over 3 then times by 7 is 2772
2772 is the total amount of money she had. minus what she had left which is 990 she has spent 1782 dollars
Answer:
4
Step-by-step explanation:
rise/run = slope
As it goes to the left or adds by one, it goes up by 4
4/1
Answer:
0.24 = 24 hundredths, not 24
Step-by-step explanation:
Answer: Number one is C and number two is B