The answer is each bag cost $4.50 .
Your equation would be : (8 x 5)= 40 + (? X 5) = $63
Combine like terms to get 2y2-2y+4x
Explicit Formula
Just in case you don't know what this is, the explicit formula is the formula that solves for any term in the series without necessarily knowing what came before the term you are solving.
<em><u>Givens</u></em>
d = t_(n + 1) - t_n You can take any term and the next term for this part of the formula
d = t_3 - t_2
t_3 = 1
t_2 = -7
d = 1 - - 7 = 8
a = -15
<em><u>Formula</u></em>
t_n = a + (n - 1)*d
t_n = -15 + (n - 1)*8
For example find the 5th term.
t_5 = - 15 + (5 - 1)*8
t_5 = - 15 + 4 *8
t_5 = -15 + 32
t_5 = 17 Which is what you have.
Recursive Formula
Computers really like this formula. They use it in what is called a subroutine and they pass values from one part of the program to a subroutine which evaluates the given and sends the result back. I'm telling you all this so you see why you are doing it. The disadvantage of it for humans is that you must know the preceding term to use the recursive formula.
<em><u>Formula</u></em>
t_n = t_(n - 1) + d
<em><u>Example</u></em>
t_6 = t_(6 - 1) + d
t_6 = t_5 + 8
t_6 = 17 + 8
t_6 = 25
You can check this by using the explicit formula.
Answer:
$1.63
Step-by-step explanation:
Divide 4.89 by 3
Answer: $1.63
Simple
Hope it helps ♥️♥️
Answer:
For this case the population is described as:
All the college students
And the political have a list of 3456 undergraduates at her college for the sampling frame.
The sample would be the 104 students who return the survey.
Is important to notice that since he know the information about her college she can apply inference about the parameter of interest just at her college and not about all the possible students of college.
Step-by-step explanation:
For this case the population is described as:
All the college students
And the political have a list of 3456 undergraduates at her college for the sampling frame.
The sample would be the 104 students who return the survey.
Is important to notice that since he know the information about her college she can apply inference about the parameter of interest just at her college and not about all the possible students of college.
For this case we can also find the non reponse rate since we know that the total of questionnaires are 250 and she got back just 104 answered
So we have a non response rate of 58.4 %
