Assertion: sample's deviation | /r/HasProperty | equal
Facets:
value: to σ
type: OTHER
value: to s / ö n
type: OTHER
value: to the mean
type: OTHER
value: to the actual population standard deviation
type: OTHER
Source sentences:
text: The population standard deviation divided by the square root of the sample size is equal to the standard deviation of the sampling distribution of the mean, thus:
text: and the population standard deviation is equal to the square root of the variance:
text: which means that the standard deviation is equal to the square root of the difference between the average of the squares of the values and the square of the average value.
text: The standard deviation of the distribution of the sample means is equal to the actual population standard deviation divided by the square root of n.
text: The standard deviation of each sampling distribution is equal to s / Ö N (where N is the size of the sample drawn from the population).
text: so the standard deviation is equal to the mean.
text: Thus, the mean and standard deviation of the distribution of √2χ2 is equal to √2ν-1
text: The standard deviation of the sampling distribution of the sample mean is equal to σ.