Answer:
Step-by-step explanation:
Sample variance when large number of samples are drawn we have tend to become a normal distribution.
Variance of the sample is different since variance
Var(x) = E(x^2)-{E(x)}^2
is the formula used for finding the variance of any sample.
But sampling distribution of variance requires repeating this process with the different samples several times.
So option A is not right
B is also not correct, C is wrong
D.The sampling distribution of the mean requires multiple samples to be compared. However, in this situation you are looking for the variance, so finding the sample variance is the same as investigating the sampling distribution of the variance.
is correct
Answer:
what
Step-by-step explanation:
wdym by this weirdo
Answer:
I think a and c are correct sorry if I'm wrong but I hoped I helped <3
Answer:
<em>Area: x^2 + 6x</em>
Step-by-step explanation:
1. This figure resembles a parallelogram, with it's dimensions parallel to the point of congruency. Even if it wasn't a parallelogram however, you would get the basic idea of <em>calculating it's area by height * length</em>.
2. Knowing the dimensions to be ( x + 6 ) by x, you can multiply them through algebra as such: x ( x + 6 ) ⇒ x^2 + 6x
3. <em>Answer: x^2 + 6x</em>
Use pythagoras.
sqrt((6--12)^2 + (8--4)^2) = 6*sqrt(13) = 21.63 (2 d.p.)