That's a question about percentage.
Let's imagine that we want to know how much is 90% of 200. To do this calculation, we should multiply 200 by 90 and then divide the result by 100. We do that because 90% is the same thing that . So, 90% of 200 is equal to:
Now, imagine that you would like to know how much is 100% of 999. First, we multiply 999 by 100 and divide the result by 999. So, 100% of a number is equal to itself. That's a very important information, because it's possible to understand this:
- If the percentage is less than 100%, the result is less than original number.
- If the percentage is equal to 100%, the result is equal to the original number.
- If the percentage is greater than 100%, the result is greater than original number.
Now, we can solve our problem! \o/
The options that the percentage is less than 100% are: 35% of 300, 62% of 182 and 89% of 525. Therefore, their answers will be less than the original number.
And, the option that the percentage is greater than 100% are: 250% of 18, 300% of 250 and 120% of 72. So, their answers will be greater than the original number.
On the image, you can see the answer in a table.
I hope I've helped. ^^
Enjoy your studies! \o/
Answer:
40% is the solution 10÷25=0.40 which is well 40%
Its B, because Z is larger than Y, but less than X.
Answer:
y=1/6 · ln |x|+c .
Step-by-step explanation:
From Exercise we have the differential equation
4xy dx= (4y6x²) dy.
We calculate the given differential equation, we get
4xy dx= (4y6x²) dy
xy dx=6yx² dy
6 dy=1/x dx
∫ 6 dy=∫ 1/x dx
6y=ln |x|+c
y=1/6 · ln |x|+c
Therefore, we get that the solution of the given differential equation is
y=1/6 · ln |x|+c .
Answer:
The probability that all are shipped on time is 0.729
Step-by-step explanation:
Consider the provided information,
It is given that the probability that a customer's order is not shipped on time is 0.10.
So the probability that a customer's order is shipped on time is:
It is given that we need to consider independent events.
So the probability that all are shipped on time is:
Hence, the probability that all are shipped on time is 0.729