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GaryK [48]
2 years ago
12

H=4pn How do I solve

Mathematics
1 answer:
guajiro [1.7K]2 years ago
6 0

Answer:2

Step-by-step explanation:

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In triangle NQL, point S is the centroid, NS = (x + 10) feet, and SR = (x + 3) feet.
olya-2409 [2.1K]
Where R is the median between Q and L:

From my understanding of a triangle's centroid, it divides an angle bisector into parts of 2/3 and 1/3. In the given problem, these divisions are NS and SR. Therefore, twice SR would be equal to NS. From here, we can get the value of X, to solve for SR.

NS = 2SR
(x + 10) = 2(x + 3)
x + 10 = 2x + 6
x = 4

Therefore, SR = (x + 3) = 7
4 0
2 years ago
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What is 204 thousands
max2010maxim [7]
204 thousands equals to 204, 000 as the mathematical value and expression. 

In expanded form 
200, 000 + 4, 000 = 204, 000 

In word form, 
Two hundred and four thousand 
8 0
3 years ago
What equation can be used to find the length of AC
Leno4ka [110]
I'm pretty sure this is the answer:
(10)sin(40°) = AC

It's <em>sin </em>becasue it <em>needs </em>the opposite side of 40° and <em>has </em>the hypotenuse. 
5 0
3 years ago
In timed pls help
ICE Princess25 [194]
She would place it before the 4.
5 0
3 years ago
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Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000 If we record the se
lys-0071 [83]

Answer:

The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Population:

Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000

Sample of 40

Shape approximately normal

Mean 350000

Standard deviation s = \frac{160000}{\sqrt{40}} = 25298

The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

5 0
3 years ago
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