When using simulation models for random sampling, we can develop the margin of error by multiplying the critical value by the standard error.
<h3>What is the margin or error?</h3>
This is a measure of the error that we get when we use a random sampling model.
It can be found by the formula:
= Critical value x Standard error
If using a z-test, the critical value would be z and the standard error would be (σ / √n). The margin or error would therefore be:
= z (σ / √n)
Find out more on margin of error at brainly.com/question/24289590.
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Answer:
13.5
Step-by-step explanation:
your teacher wrote all the tools you need down already.
we only need to apply them.
is that really so difficult ?
because of the law of sines we have
sin(27)/11 = sin(34)/x
we can also turn this upside down to simplify the calculation.
11/sin(27) = x/sin(34)
x = 11×sin(34)/sin(27) = 13.549 ≈ 13.5
there, that was all there was to it ...
0.01 multiplied by 10 is 0.1. So it think the actual answer is 1:10
-9+13f
Step-by-step explanation:
6f-1+7f-8
6f+7f-8-1
13f-9
All numbers are integers like prime numbers,composite number,even,odd,etc.