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ExtremeBDS [4]
3 years ago
9

The formula for the perimeter of a square is p = 4s, where s is the length of a side. find the perimeter of each square.

Mathematics
1 answer:
omeli [17]3 years ago
4 0
Which square do you mean. We dont see any squares
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(2m-3)(2m+3)(4m^2+9)
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Answer:

16m^{4}−81

Step-by-step explanation:

Hope this is correct and it helps :)

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Evaluateing expressions 9x-c
lyudmila [28]

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9x−c

= 9x + − c

=−c+9x

Step-by-step explanation:

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2 (x + 4) = 4.2 (x - 2) - 2x
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Read 2 more answers
Please help ‼️‼️
Sergeu [11.5K]

Answer:

m = 10

Step-by-step explanation:

Find 'n' first..... then pythag theorem for 'm'....

n is to 5    as  15 is to n

n/5   = 15/n

n^2 = 75     n = sqrt (75)

Then   m^2 =  n^2 + 5^2

            m^2 = 75  +  25       s-o-o-o-o:     m = 10

6 0
2 years ago
The number of cars running a red light in a day, at a given intersection, possesses a distribution with a mean of 3.6 cars and a
Iteru [2.4K]

Answer:

X \sim N(3.6,5)  

Where \mu=3.6 and \sigma=5

Then we have:

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

With the following parameters:

\mu_{\bar X}= 3.6

\sigma_{\bar X} = \frac{5}{\sqrt{100}}= 0.5

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".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the number of cars running a red light of a population, and for this case we know the distribution for X is given by:

X \sim N(3.6,5)  

Where \mu=3.6 and \sigma=5

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}})

With the following parameters:

\mu_{\bar X}= 3.6

\sigma_{\bar X} = \frac{5}{\sqrt{100}}= 0.5

5 0
3 years ago
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