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The scatterness or variation of observations from their average are called the dispersion. There are different measures of dispersion like the range, the quartile deviation, the mean deviation and the standard deviation.
A measure of dispersion is a number which describes the spread of the data. sample of the times (in minutes) spent waiting in line at two different banks is shown below. Find the mean, median, mode, and midrange for each bank. sample of the times (in minutes) spent waiting in line at two different banks is shown below.
Lecture 4: Measure of Dispersion. Dispersion (a.k.a., variability, scatter, or spread)) characterizes how stretched or squeezed of the data. A measure of statistical dispersion is a nonnegative real number that is zero if all the data are the same and increases as the data become more diverse.
Dispersion refers to the variety, diversity, or amount of variation among scores. The greater the dispersion of a variable, the greater the range of scores and the greater the differences between scores. Examples. Typically, a large city will have more diversity than a small town.
Mean, median, and mode are three measures of central tendency. Variance, standard deviation, and IQR are three measures of dispersion. Descriptive statistics can be more informative than raw data, but descriptive statistics are summaries; as such, they never tell the whole story.
Definition. Measures of Dispersion are Descriptive Statistics that describe the extent to which a numerical data is likely to vary about an average value. The more similar the scores are to each other, the lower the measure of dispersion will be.
2 Measures of Dispersion The mean is the value usually used to indicate the centre of a distribution. If we are dealing with quantity variables our description of the data will not be complete without a measure of the extent to which the observed values are spread out from the average.
