The answer depends on one side of WHAT! There is no distribution which has a greater number of values on either side of its median.
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It is a probability distribution in which the probability of the random variable being in any interval on one side of the mean (expected value) is the same as for the equivalent interval on the other side of the mean.
Physical distribution is one of the largest arenas of marketing and has been defined as the analysis, planning, and control of activities concerned with the procurement and distribution of goods.
The shorter side, W, can be any one of the infinite number of real values less than sqrt(120) = 10.9545 cm. The longer side must be 120/W cm.
Skewness is a measure of the extent to which the probability distribution of a random variable lies more to one side of the mean, as opposed to it being exactly symmetrical.If μ and s are the mean and standard deviation of a random variable X, thenSkew(X) = Expected value of [(X - μ)/s]3
Price ranges are detailed in the Blue Book of Gun values www.bluebookinc.com