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alexandr402 [8]
3 years ago
12

HELP PLEASE!! thanks

Mathematics
1 answer:
Vesna [10]3 years ago
5 0

Answer:

352

but for the 3 it would be 264

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5x + 1 = 11<br> What is the first step?
vlabodo [156]
The first step would be to subtract 1 from both sides, leaving you with 5x = 10.
4 0
2 years ago
Read 2 more answers
7 is one tenth of what number
Sloan [31]

<u><em>Answer:</em></u>

70


<u><em>Explanation:</em></u>

Assume that the number we are looking for is x

one tenth is interpreted into \frac{1}{10}


Now, we know that one tenth of the number is 7, this means that:

\frac{1}{10} * x = 7


Solve for x by multiplying both sides of the equation by 10, we get:

\frac{1}{10} * x * 10 = 7 * 10

x = 70


Hope this helps :)

5 0
3 years ago
Read 2 more answers
The first step in determining the solution to the system of equations, y = -x2 - 4x - 3 and y = 2x + 5, algebraically is to set
sweet-ann [11.9K]

Answer:

Combine like terms onto one side of the equation

Step-by-step explanation:

You have

-x^2  -4x  - 3  = 2x + 5

It seems that we should combine like terms to make this equations smaller.

-x^2 - 4x - 3  - 2x  - 5 = 0

-x^2  -6x  - 8 = 0

- (x + 2)(x + 4) = 0

x = -2  or  x  = -4

6 0
2 years ago
in the unted states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches. If 16
yaroslaw [1]

Answer:

Probability that their mean height is less than 68 inches is 0.0764.

Step-by-step explanation:

We are given that in the united states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches.

Also, 16 men are randomly selected.

<em>Let </em>\bar X<em> = sample mean height</em>

The z-score probability distribution for sample mean is given by;

              Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean height = 69 inches

            \sigma = population standard deviation = 2.8 inches

            n = sample of men = 16

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the mean height of 16 randomly selected men is less than 68 inches is given by = P(\bar X < 68 inches)

 P(\bar X < 68 inches) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{68-69}{\frac{2.8}{\sqrt{16} } } ) = P(Z < -1.43) = 1 - P(Z \leq 1.43)

                                                           = 1 - 0.9236 = 0.0764

<em>Now, in the z table the P(Z  x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.43 in the z table which has an area of 0.92364.</em>

Therefore, probability that their mean height is less than 68 inches is 0.0764.

3 0
3 years ago
2.8962 to the nearest hundredth do not write extra zeros?<br>​
Alexxx [7]

Answer:

2.9

Step-by-step explanation:

Plz mark as brainliest!!!

5 0
3 years ago
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