BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -In statistics, dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed. Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range.

Detailed explanation-2: -The spread of a distribution describes how close the data values are to each other. When the spread of the distribution is combined with a measure of center, a good description of the data set is given. Several statistics are used to describe spread.

Detailed explanation-3: -Standard deviation (SD) is the most commonly used measure of dispersion. It is a measure of spread of data about the mean. SD is the square root of sum of squared deviation from the mean divided by the number of observations.

Detailed explanation-4: -The simplest measure of spread in data is the range. It is the difference between the maximum value and the minimum value within the data set. In the above data containing the scores of two students, range for Arun = 100-20 = 80; range for John = 80-45 = 35.

Detailed explanation-5: -The dispersion pattern (distribution pattern) of a population describes the arrangement of individuals within a habitat at a particular point in time, and broad categories of patterns are used to describe them. The three dispersion patterns are clumped, random, and uniform (figure 5.1. a).