Answer:
a)

b)
The total amount accrued, principal plus interest, from compound interest on an original principal of $ 4,200.00 at a rate of 3.6% per year compounded 12 times per year over 10 years is $5667.28.
Step-by-step explanation:
a. Write the function that represents the value of the account at any time, t.
The function that represents the value of the account at any time, t

where
P represents the principal amount
r represents Annual Rate
n represents the number of compounding periods per unit t, at the end of each period
t represents the time Involve
b) What will the value be after 10 years?
Given
The principal amount P = $4200
Annual Rate r = 3.6% = 3.6/100 = 0.036
Compounded monthly = n = 12
Time Period = t
To Determine:
The total amount A = ?
Using the formula

substituting the values


$
Therefore, the total amount accrued, principal plus interest, from compound interest on an original principal of $ 4,200.00 at a rate of 3.6% per year compounded 12 times per year over 10 years is $5667.28.
Answer:
1078
Explanation:
For this you can use a proportion to solve. So first we set up the proportion as laptop over desktop is equal to "<em>l</em>" over total desktop computers. Let <em>l</em> be the total amount of laptops which is what we must first solve for.

Then we cross multiply.

Now we can solve it as a regular algebra problem,

Now that we know how many laptop computers there are we can find the total number of computers in the school. We simply add the total number of desktop computers to the total number of laptop computers.

And that is the answer. 1078.
Answer:
A.

Step-by-step explanation:
when a value is outside of the root, then you can square it and put it back in. After you put it back in, you need to multiply it by the number that is remaining
In this case, you would square 10 which equals 100, and put it back into the root and multiply 100 by 5.
100x5=500
Therefore, the answer is A, root 500
Answer:
<em>C. Omitted variable bias
</em>
Step-by-step explanation:
In mathematics and statistics, omitted-variable bias (OVB) happens if one or more important variables is left out by a statistical model.
The bias results in the equation being related to the expected effects of the included variables by the influence of the excluded variables.