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Mkey [24]
3 years ago
5

What is the angle in a triangle that is part of a linear pair?

Mathematics
2 answers:
masya89 [10]3 years ago
5 0
If you understand what is linear pair, you can see the same in triangle also. A linear pair is a pair of adjacent, supplementary angles. Adjacentmeans next to each other, and supplementary means that the measures of the two angles add up to equal 180 degrees.
Mamont248 [21]3 years ago
5 0
The linear pair should equal 180, added together.
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Solve for Y:<br> 2/3 (y+57 )= 178
sattari [20]
Y= 210  you have to distribute 2/3 to y then to 57 and your equation would be 2/3y + 38= 178 then you take 38 and subtract 178 - 38 and you get 140 then you divide 140/ (2/3) and you will get 210 as your answer.(:
8 0
3 years ago
Determine the domain of the following graph
Lunna [17]

Answer:

-3 ≥ x ≥ 9

Step-by-step explanation:

The domain are the x-values of every point in your graph. Since it a continuous domain, it'll be represented with ≥. Your two extremities are -3 and 9. Therefore, your domain is -3 ≥ x ≥ 9.

8 0
3 years ago
I paid $8.50 each for movie tickets and i spend a total of $144.50. If n, represents how many tickets i bought, write and equati
damaskus [11]
Answer:
$144.50/8.50 = n

Explanation:
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8 0
3 years ago
Read 2 more answers
A cylinder has a base radius of 6ft and a height of 18ft. What is its volume in cubic ft, round to the nearest tenth?
Nookie1986 [14]

Answer:2034.7

Step-by-step explanation:

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3 0
3 years ago
The compressive strength of concrete is normally distributed with mu = 2500 psi and sigma = 50 psi. A random sample of n = 8 spe
Nata [24]

Answer:

X \sim N(2500,50)  

Where \mu=2500 and \sigma=50

We select a sample size of n =8. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error would be:

SE = \frac{50}{\sqrt{8}}= 17.678 psi

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

Solution to the problem

Let X the random variable that represent the compressive strength of concrete of a population, and for this case we know the distribution for X is given by:

X \sim N(2500,50)  

Where \mu=2500 and \sigma=50

We select a sample size of n =8. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error would be:

SE = \frac{50}{\sqrt{8}}= 17.678 psi

7 0
3 years ago
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