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Leokris [45]
3 years ago
15

What is the following product? Assume x>0 and y>0 v5x^8y^2•v10^3•v12y

Mathematics
1 answer:
MAXImum [283]3 years ago
4 0

Answer:

10x^{5}y \sqrt{6xy}

Step-by-step explanation:

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Over time, the value of the property at 397 West Lake Street increased by 275%. If the initial value of the property was P, whic
VMariaS [17]

Answer:

The expression is 2.75P.

Step-by-step explanation:

If P represents the initial value and the value increases by 275%, then you can say that it is worth 2.75 times as much as the initial value.  

6 0
3 years ago
Suppose the radius of a circle is 8. What is its area?
monitta
The Formula to find the Area of a circle using the radius is:
A =  \pi r^2

r = 8
So:
A =  \pi r^2
A =  \pi 8^2
A = \pi64

And you get about 201.06193

So, the area of a circle with a radius of 8 is about 201.06

Hope this Helps :)

3 0
3 years ago
Can someone please explain to me how to get the answer for the question is the picture? I don't get it at all, and the internet
AlekseyPX

Answer:

The original price of the item is $28.

Step-by-step explanation:

So to find the original price, we have to divide the sale price by the result of one minus the discount in percentage form.

So:

First convert 25% to a decimal, 0.25.

OP(original price) = 21 ÷ 1 - 0.25 =

1 - 0.25 = 0.75

21 ÷ 0.75 = 28.

5 0
3 years ago
Joanne has a rectangular kitchen that is 10 ft by 15 ft. She decides to increase the length and the width by the same amount (x)
Elodia [21]

Answer:

NO

Step-by-step explanation:

8 0
3 years ago
Amanda earned a score of 940 on a national achievement test that was normally distributed. The mean test score was 850 with a st
snow_lady [41]
<span>In math notation, we've done this: z = (X - μ) / σ = (940 - 850) / 100 = 0.90 where z is the z-score X is Vivian's score (940) µ is the mean (850) σ is the standard deviation (100) As you may know, in a normal distribution it's expected that about 68% of all observations will fall within 1 standard deviation of the mean, 95% will fall within 2 standard deviations, and 99% will fall within 3 standard deviations. 
940 lie before the first standard deviation, in which 16.5% is above it
since 940 is 0.9 from the mean and 0.1 from the first standard deviation
so above it is 17.5 % = 0.175 or about 0.18 </span>
4 0
3 years ago
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