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
1) I use an interest program on my calculator. You could also use the equation listed in the math textbook. Principle=2500 Rate=0.025 Years=3 No.compounds/yr=4 Answer is $2,694.08
2) All positives
3) Square root of 343
4) Square root of 48
I hope that helps. :)
Because if you did not you would not have a exact answer.
Answer:




Step-by-step explanation:
Given
I will answer this question using the attached triangle
Solving (a): Sine and Cosine A
In trigonometry:
and

So:

Substitute values for BC and BA




Substitute values for AC and BA



Solving (b): Sine and Cosine B
In trigonometry:
and

So:

Substitute values for AC and BA




Substitute values for BC and BA



Using a calculator:

So:

-- approximated

-- approximated

So:

--- approximated

--- approximated
Step-by-step explanation:



Equating,




Placing it,


