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cupoosta [38]
3 years ago
7

A meter is a unit of length approximately equal to 39.37 inches. If someone is 1.82 meters​ tall, what is his or her approximate

height in​ inches?
Mathematics
2 answers:
Aleksandr-060686 [28]3 years ago
5 0
I’m going through a barb right away I don’t wanna and what you want to do is divide 22 by 88 and + 7
Nutka1998 [239]3 years ago
4 0

Answer:

64.5668 inches tall

Step-by-step explanation:

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I need major help pretty pls this so different
crimeas [40]
First put a bubble around 5x-7. Now you plug that into the problem. -3x-2
(5x-7)=12. now times the -2 by 5x which is -10x. and then times the -2 by -7 which is 14. so now you have -3x-10x+14=-12. add the -3x and -10x. -13x. Add the 14 over. -13x=2. Now dived by -13, which gives us x=-0.15

Now you take that a plug it into the -3x-2y=-12. So that it looks like this -3(-0.15)-2y=-12

Now times the -3 by -0.15 to give us 20 -2y=-12.   Now 'kill' the 20, so that it looks like this -2y=-32. Now you divide by -2 and get y=16. 

Now your ordered pair is (-0.15,16)
7 0
3 years ago
What of these numbers is a prime number 1,11,21,51
Zepler [3.9K]
11. It is not the multiple of any numbers smaller than it
7 0
3 years ago
Can somebody tell me what is 30% of 240
vagabundo [1.1K]

Answer:

72

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
A hackberry tree has roots that reach a depth of
Degger [83]

Answer:

24.6967 meters

Step-by-step explanation:

The roots of the tree go 6 and 5 over 12 meters below the ground level.

Now, 6 and 5 over 12 meters is equivalent to 6.4167 meters.

Again the top of the tree is 18.28 meters high from the ground level.

Therefore, the total height of the tree from the bottom of the root to the top is  

(6.4167 +18.28) = 24.6967 meters (Answer)

5 0
3 years ago
Read this E[2X^2 â€" Y].
djyliett [7]

Looks like a badly encoded/decoded symbol. It's supposed to be a minus sign, so you're asked to find the expectation of 2<em>X </em>² - <em>Y</em>.

If you don't know how <em>X</em> or <em>Y</em> are distributed, but you know E[<em>X</em> ²] and E[<em>Y</em>], then it's as simple as distributing the expectation over the sum:

E[2<em>X </em>² - <em>Y</em>] = 2 E[<em>X </em>²] - E[<em>Y</em>]

Or, if you're given the expectation and variance of <em>X</em>, you have

Var[<em>X</em>] = E[<em>X</em> ²] - E[<em>X</em>]²

→   E[2<em>X </em>² - <em>Y</em>] = 2 (Var[<em>X</em>] + E[<em>X</em>]²) - E[<em>Y</em>]

Otherwise, you may be given the density function, or joint density, in which case you can determine the expectations by computing an integral or sum.

6 0
3 years ago
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