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z = (x - mean of x)/ std dev of x I thought this website was pretty good: http://www.jrigol.com/Statistics/TandZStatistics.htm
Standard error A statistical measure of the dispersion of a set of values. The standard error provides an estimation of the extent to which the mean of a given set of scores drawn from a sample differs from the true mean score of the whole population. It should be applied only to interval-level measures. Standard deviation A measure of the dispersion of a set of data from its mean. The more spread apart the data is, the higher the deviation,is defined as follows: Standard error x sqrt(n) = Standard deviation Which means that Std Dev is bigger than Std err Also, Std Dev refers to a bigger sample, while Std err refers to a smaller sample
Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.
Act. Hr x (Std. Rate - Act. Rate) actual hours times standart rate minus actual rate
Mean plus or minus 1.95 SEM. Mean minus 1,95 SEM to Man plus 1,95 SEM.