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/
43 over 100
4/10 is 40/100. 40/100 plus 3/100 is 43/100
Answer:
4/9
Step-by-step explanation:
Notice the repeating symbol on top of the 0.4, so instead of 4/10, it would be 0.44444, which is 4/9 if you turn it into a fraction.
Answer:
n = -1
Step-by-step explanation:
you've accidently substracted 6n from 12n when you were supposed to be adding them. (-6n becomes +6n when brought to the otherside of the equal sign)
Answer:
The diagram is attached below.
Step-by-step explanation:
A normal distribution mean 0 and standard deviation 1 is known as the standard normal distribution.
So, the readings on the thermometers (denoted by <em>Z</em>) follows N (0, 1).
It is provided that 2.7% of the thermometers are rejected because they have readings that are too high and 2.7% are rejected because they have readings that are too low.
This implies that:

The value of <em>z</em> associated to both these probabilities are:
<em>z</em> = 1.93.
That is,

*Use a <em>z</em>-table.
The diagram for the two readings that are cutoff values separating the rejected thermometers from the others is attached below.