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Vesnalui [34]
2 years ago
9

-3x +y =12 -y + 9x =0 Método de Sustitución :v SDLG

Mathematics
1 answer:
zlopas [31]2 years ago
5 0

Answer:

it is 3

Step-by-step explanation:

3×3487+7+7+8+8+8++7+7

You might be interested in
Which expression is equivalent to5(h+9)
Fantom [35]

Answer:

The answer would be 5h+45

Step-by-step explanation

5 (h+9)

You need to convert this equation into the equation

you multiply 5 by h and get 5h

Then multiply the same number outside the parenthesis, 5, by 9 which will give you the answer 45

Once you have 5h and 45 just put it together with the addition symbol which will will equal:

5 (h+9) = 5h + 45

Your Welcome! (hopefully this answers your question)

4 0
2 years ago
matt is raking leaves for his neighbors.it takes him 7/8 hour to rake the leaves in one lawn.how long will it take matt to rake
Nataly_w [17]
You multipy 7/8 and 6 and then simplify if needed to get how long it will take
6 0
3 years ago
The quotient of 35 and the quantity of x minus 7
Fantom [35]
The quotient (÷) of 35 and the quantity of x minus 7 (x - 7).

\frac{35}{x - 7}   


3 0
3 years ago
Melinda says that 500 divided by 50 is 10 use the drop-down menus to explain why Melinda's statement is true
Lunna [17]

Answer:

Yes its correct

Step-by-step explanation:

500/50 is 10

3 0
2 years ago
It is known that the length of time that people wait for a city bus to arrive is right skewed with mean 6 minutes and standard d
Natali [406]

Answer:

The standard deviation of the sampling distribution of the sample wait times is of 0.8 minutes.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes 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. Otherwise, the mean and the standard deviations holds, but the distribution will not be approximately normal.

Standard deviation 4 minutes.

This means that \sigma = 4

A sample of 25 wait times is randomly selected.

This means that n = 25

What is the standard deviation of the sampling distribution of the sample wait times?

s = \frac{4}{\sqrt{25}} = 0.8

The standard deviation of the sampling distribution of the sample wait times is of 0.8 minutes.

4 0
2 years ago
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