Answer: A. divided the difference of the two quantities by the sum of the two quantities.
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Explanation:
The difference of the quantities is 20-15 = 5
The sum of the quantities is 20+15 = 35
Dividing those results leads to 5/35 = 0.142857 which rounds to 0.1429
That converts to 14.29%
This is likely the path Adam took. This path is incorrect. The correct steps are shown below
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Difference = 20-15 = 5
Divide the difference over the original quantity
5/20 = 1/4 = 0.25 = 25%
We have a 25% decrease because the new quantity (15) is smaller than the old quantity (20)
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Here's another way to approach the problem
A = old value = 20
B = new value = 15
C = percent change
C = [ (B-A)/A ] * 100%
C = [ (15-20)/20 ] * 100%
C = (-5/20)*100%
C = -0.25*100%
C = -25%
The negative C value means we have a negative percent change, ie we have a percent decrease. So this is another way to get a 25% decrease.
Good afternoon.
120square --- 34h
x square --- 1h
34x = 120
x = 120/34
x = 3,5 square
Answer:

Step-by-step explanation:
Answer:
(1)14.9% (2) 2.96% (3) 97.04%
Step-by-step explanation:
Formula for Poisson distribution:
where k is a number of guests coming in at a particular hour period.
(1) We can substitute k = 7 and
into the formula:


(2)To calculate the probability of maximum 2 customers, we can add up the probability of 0, 1, and 2 customers coming in at a random hours




(3) The probability of having at least 3 customers arriving at a random hour would be the probability of having more than 2 customers, which is the invert of probability of having no more than 2 customers. Therefore:
A)
2, 4, 6, 8, *10
The fifth row contains 10 cans.
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b)
2+4+6+8+10+12+14+16+18+20=110
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c)
2*Row=Number Of Cans
When Row=1, Number Of Cans=2.
When Row=5, Number Of Cans=10.
When Row=10, Number Of Cans=20.