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 and Step-by-step explanation:
1) - 6.5 r = - 58.5
- r = - 58.5/6.5
- r = - 9
<h2>r = 9 </h2>
2) c - 5.5 = 2.3
c = 2.3 + 5.5
<h2>c = 7.8</h2>
3) 56 = - 5.6s
56/5.6 = - s
10 = - s
- 10 = s
<h2>s = - 10</h2>
4) d/4 = 4.7
d = 4.7 / 1/4
d = 4.7 * 4
<h2>d = 18.8</h2>
5) - 9 = 6.9 + x
- 9 - 6.9 = x
- 15.9 = x
<h2>x = - 15.9</h2>
6) 23.5 = 4.7z
23.5/4.7 = z
5 = z
<h2>z = 5</h2>
7) - 2.7 = v + 4.9
- 2.7 - 4.9 = v
- 7.6 = v
<h2>v = - 7.6</h2>
8) 2.6 = k/3
k/3 = 2.6
k = 2.6 / 1/3
k = 2.6 * 3
<h2>k = 7.8</h2>
9) - 5.6f = 44.8
- f = 44.8/5.6
- f = 8
<h2>f = - 8</h2><h2 />
hope it helps, my friend
Answer:
what points
Step-by-step explanation:
Answer:
8/15
Step-by-step explanation:
Answer:
15 units
Step-by-step explanation:
