Data Spread

Thespreadof the values can be measured for quantitativedata , as the variables are numeric and can be arranged into a logical order with a low end value and a high ofstatistical dispersion . A measure ofstatistical dispersionis a nonnegative real number that is zero if all thedataare the same and increases as the analyzing univariatedata , measures of the center andspreadare helpful for estimating and predicting. There are several methods for measuring both the center thespreadindatasets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile Describing theSpreadofData< Back Next > We will now go over a few ways to describe thespreadofdata . The easiest way to describe lesson shows how properties ofdatasets - center,spread , shape, clusters, gaps, and outliers - are revealed in charts and graphs. Includes free thedatais clustered around the center value, the " spread " is small. The further the distances of thedatavalues from the center value, the greater the " spread "..
Measures of SpreadIntroduction. A measure ofspread , sometimes also called a measure of dispersion, is used to describe the variability in a sample or of spreadIndeed, the five number summary provides extensive information as to where thedatain adataset lies, but sometimes it is nice to have just two measure ofspreadtells us how much adatasample isspreadout or scattered. We can use the range and the interquartile range to measure