Answer:
585m³
Step-by-step explanation:
Multiply all of the numbers together
13 × 5 × 9 = 585
Answer:
6546 students would need to be sampled.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.

In which
z is the z-score that has a p-value of
.
The margin of error is:

The dean randomly selects 200 students and finds that 118 of them are receiving financial aid.
This means that 
90% confidence level
So
, z is the value of Z that has a p-value of
, so
.
If the dean wanted to estimate the proportion of all students receiving financial aid to within 1% with 90% reliability, how many students would need to be sampled?
n students would need to be sampled, and n is found when M = 0.01. So






Rounding up:
6546 students would need to be sampled.
297,000,000 is your answer.
Let's call the store value as s and the wholesale price as w. A store prices tapes by raising the wholesale price 50%(0.5 in decimals) and adding 25 cents, writing this as an equation, we have

If we invert the equation we're going to find the the wholesale price as a function of the store price.

Now, to find the wholesale price if the sales price is $1.99, we just need to evaluate s = 1.99 on the function we created.

The wholesale price is $1.16.
Answer:
one quarter of the total number of students will be those who failed their exam.
Step-by-step explanation:
Three - fourths = those who passed the exam
one quarter will be those who failed their exam
From the total number of the students.
Let's make an example
40 students who take the exam.
3 over 4 students from the total number of 40 take the exam and the result is passed and it mean 30 students passed in the exam.
1 over 4 students take the exam and the result is failed and it mean 10 students failed in the exam.
4 minus 3 over 4 will get the answer 1 over 4.
Use 1 over 4 to multiple with the total number of the students and that how you will get the answer for those who failed in their exam.