The first 5 is 500,000 it is 10 times the amount of the second 5 which is 50,000. Hope this helps.
There are 20 samples.
The sum of the 20 samples is 426.
The mean (average) of the samples is (426)/(20) = 21.3 .
Answer:
see above there is the answer sorry for rough
Answer: ?
Step-by-step explanation:
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
