Statistics MCQs, Data Analysis, Stat Software
The measure of dispersions, variance, standard deviation, quantile deviation, absolute measures of dispersion, relative measure of dispersion, range, deviations, multivariate measures of dispersions
In statistics, the sum of squared deviations is a measure of the total variability (Measure of spread or variation) within a data set. In other words, the sum of squares is a measure of deviation or variation from the mean (average) value of the given data set. A sum of …
Measure of Central Tendency provides typical value about the data set, but it does not tell the actual story about the data i.e. mean, median, and mode are enough to get summary information, though we know about the center of the data. In other words, we can measure the center …
An absolute Measure of Dispersion gives an idea about the amount of dispersion/ spread in a set of observations. These quantities measure the dispersion in the same units as the units of original data. The absolute measure of dispersion cannot be used to compare the variation of two or more series/ …
The measure of location or averages or central tendency is not sufficient to describe the characteristics of a distribution, because two or more distributions may have averages that are exactly alike, even though the distributions are dissimilar in other aspects. On the other hand, a measure of central tendency represents …