Answer:
11 units
Step-by-step explanation:
<em>hey there,</em>
<em />
< A square has 4 sides that are all always equal to each other. The perimeter is all the sides summed up together. That means (for example), if one side of the square is 2 cm, then we know that the perimeter is 8 cm, because 2 + 2 + 2 + 2 = 8 (or 2×4=8).
Here we are given that one side is equal to "x-5". Pretend that is a number and solve as I did just right above:
(x-5)×4 = 4x -20
Now we know that the perimeter is (4x-20) units (when you don't know what the units are then just put "units").
We also know that the perimeter can be a number which is 24. That means these two values are equal to each other.
4x-20 = 24
Now solve! Bring x to one side, and all the numbers to the other side.
4x = 44
x = 11
We now know that the value of one side of the square (x) is equal to 11 units. >
<u>Hope this helped! Feel free to ask anything else.</u>
Answer:
Simplify the equation and find the value of x
Step-by-step explanation:

We're not given the choices but we don't need them.
The only way this problem is tractable to a middle or high schooler is if the polynomial is perfect cube; a little thought yields

To find the inverse let's call f(x) x and call x y and solve for y.

![y-2 = \sqrt[3]{x}](https://tex.z-dn.net/?f=y-2%20%3D%20%5Csqrt%5B3%5D%7Bx%7D)
![y = 2 + \sqrt[3]{x}](https://tex.z-dn.net/?f=y%20%3D%202%20%2B%20%5Csqrt%5B3%5D%7Bx%7D)
That is a very good question....
Look Grank
you know that:
confidence interval = mean +or- Margin of Error
and
Margin of Error = (z)*(standard deviation) / (sqrt of n)
where n is the number of sample records
So we need to calculate z-value firstly
It says: "<span>we want 90% confidence"
So that:
</span>
<span>confidence90% corresponds to z-value of 1.645
Plug that into our formula of </span><span>Margin of Error:
</span>Margin of Error = (1.645)*(22) / (sqrt of n)
"The sample mean is within 2.7 lb of the population mean" means that Margin of Error is 2.7
<span>Margin of Error:
</span>2.7 = (1.645)*(22) / (sqrt of n)
Now solve for n:
n=179.66~180
SO that 180<span> women must be randomly selected to estimate the mean weight of women in one age group.</span>