RESEARCH METHODOLOGY

Detailed explanation-1: -The variability of a distribution is the extent to which the scores vary around their central tendency.

Detailed explanation-2: -The standard deviation provides a numerical measure of the overall amount of variation in a data set, and can be used to determine whether a particular data value is close to or far from the mean.

Detailed explanation-3: -Variability refers to how spread scores are in a distribution out; that is, it refers to the amount of spread of the scores around the mean. For example, distributions with the same mean can have different amounts of variability or dispersion.

Detailed explanation-4: -Variability, almost by definition, is the extent to which data points in a statistical distribution or data set diverge-vary-from the average value, as well as the extent to which these data points differ from each other.

Detailed explanation-5: -In other words, variability measures how much your scores differ from each other. Variability is also referred to as dispersion or spread. Data sets with similar values are said to have little variability, while data sets that have values that are spread out have high variability.