The Standard Deviation is a measure of how spread out numbers are.
... Work out the Mean (the simple average of the numbers) Then for each number: subtract the Mean and square the result (the squared difference). Then work out the average of those squared differences. (Why Square?) ...
... Work out the Mean (the simple average of the numbers) Then for each number: subtract the Mean and square the result (the squared difference). Then work out the average of those squared differences. (Why Square?) ...
MA4413-07
... The second result which is of concern relates to the mean of all the sampling means in the sampling distribution of the mean. Fairly reasonably it turns out to be nothing more than the mean () of the population from which the samples were chosen. Thus, sample means, are distributed normally about a ...
... The second result which is of concern relates to the mean of all the sampling means in the sampling distribution of the mean. Fairly reasonably it turns out to be nothing more than the mean () of the population from which the samples were chosen. Thus, sample means, are distributed normally about a ...
Here
... reason for this is that the Cauchy distribution allows, with a large probability very large values, and does in fact not even have a well-defined (finite) expected value. This means that the sample may contain some extremely small or large “non-typical” values, so called outliers, and a few such may ...
... reason for this is that the Cauchy distribution allows, with a large probability very large values, and does in fact not even have a well-defined (finite) expected value. This means that the sample may contain some extremely small or large “non-typical” values, so called outliers, and a few such may ...
