For a standard normally distributed random variable <em>Z</em> (with mean 0 and standard deviation 1), we get a probability of 0.0625 for a <em>z</em>-score of <em>Z</em> ≈ 1.53, since
P(<em>Z</em> ≥ 1.53) ≈ 0.9375
You can transform any normally distributed variable <em>Y</em> to <em>Z</em> using the relation
<em>Z</em> = (<em>Y</em> - <em>µ</em>) / <em>σ</em>
where <em>µ</em> and <em>σ</em> are the mean and standard deviation of <em>Y</em>, respectively.
So if <em>s</em> is the standard deviation of <em>X</em>, then
(250 - 234) / <em>s</em> ≈ 1.53
Solve for <em>s</em> :
16/<em>s</em> ≈ 1.53
<em>s</em> ≈ 10.43
Answer:
The variance is 
Step-by-step explanation:
From the question we are told that
The sample size is n = 21
The sum of squares is 
Generally the variance is mathematically represented as

substituting values


We can solve this by using the P<span>ythagorean theorem which is below:

Or we can say
</span>

<span>w = widht
h = height
d = diagonal measure
With that said, we know the height is .75 times the width so .75w. We also know d = 34, which is our diagonal measure.
w = don't know yet but need to find
h = .75w
d = 34
Now lets plugin the information we know into our equation</span>

Now lets to the math

Combine like terms
Divide both sides of the equal sign by 1.5625
Now take the square root on both sides of the equal sign

So the width is 27.2
We can check this by putting 27.2 back into our original equation

The atajan of that wheat of the graph is lowland of the quake
Answer:
6q or 6 * q
Step-by-step explanation:
As you do not know what the value of the variable q is, you are essentially changing it from word form to expression form.
"product" in math means multiply, so you are multiplying 6 with q.
6q is your answer.
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