It means that the material does not meet at least one of the requirements in terms of its quality.
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It means that the material does not meet at least one of the requirements in terms of its quality.
Sub means smaller or under.
An estimate for the mean of a set of observations is just that - an estimate. Another set of observations will give a different estimates. These estimates for the mean will have a distribution which will have a standard error. If you have two sub-populations, the mean of each sub-population will have a standards error and the se of the difference between the means is a measure of the variability of the estimates of the difference.A typical school work example: the heights of men and of women. There will be a mean height for men, Hm, with a se for men's heights and a mean height for women, Hw, with its own se. The difference in mean heights is Hm - Hw and which will have an estimated se.
no the standard deviation is not equal to mean of absolute distance from the mean
How many standard deviations is 16.50 from the mean?