Answer:
80 pages
Step-by-step explanation:
Given:
Number of pages printed = 5493
Number of booklets made = 68
Let each booklet use 'x' pages.
So, pages used by 68 booklets is given by unitary method and is equal to:

Now, total number of pages are 5493.
Therefore, the pages used by the 68 booklets should be less than or equal to the total number of pages available. So,

Therefore, the number of pages in each booklet is 80.
Answer:
C, -2
Step-by-step explanation:
-4x + 7 = 2y - 3
-4x + 10 = 2y
-2y = 4x - 10
y = -2x + 5
9514 1404 393
Answer:
5450
Step-by-step explanation:
Put 9% where r is in your formula and evaluate it. Of course, you must use the decimal equivalent.
5000(1 +9%) = 5000(1.09) = 5450
The account will have 5450 in it at the end of the year.
Answer:
Step-by-step explanation:
Suppose we think of an alphabet X to be the Event of the evidence.
Also, if Y be the Event of cheating; &
Y' be the Event of not involved in cheating
From the given information:



Thus, 
P(Y') = 1 - 0.01
P(Y') = 0.99
The probability of cheating & the evidence is present is = P(YX)



The probabilities of not involved in cheating & the evidence are present is:


(b)
The required probability that the evidence is present is:
P(YX or Y'X) = 0.006 + 0.000099
P(YX or Y'X) = 0.006099
(c)
The required probability that (S) cheat provided the evidence being present is:
Using Bayes Theorem


