square (25/36) = 5/6 = .833
Standard deviation is a way to describe how the data is distributed around the Arithmatic Mean. It is not a simple formula to calculate, as shown in the links.
Standard deviation is a way to describe how the data is distributed around the Arithmatic Mean. It is not a simple formula to calculate, as shown in the links.
68.2%
=stdev(...) will return the N-1 weighted sample standard deviation. =stdevp(...) will return the N weighted population standard deviation.
The Z test.
If a normally distributed random variable X has mean m and standard deviation s, then z = (X - m)/s
we calculate standard deviation to find the avg of the difference of all values from mean.,
You calculate the mean.For each observation, you calculate its deviation from the mean.Convert the deviation to absolute deviation.Calculate the mean of these absolute deviations.
About 98% of the population.
The standard deviation of the population. the standard deviation of the population.
The other assumptions are listed in the related link. The answer you are looking for is the same variance or standard deviation.
True.