Affected by extreme values 5. To be precise, Measures of Dispersion measures how far are individual observations from the Measures of Central Tendency of the same data. The arcsine distribution on [a,b], which is a special case of the Beta distribution if α=β=1/2, a=0, and b = 1.; The Beta distribution on [0,1], a family of two-parameter distributions with one mode, of which the uniform distribution is a special case, and which is useful in estimating success probabilities. Therefore, Six Sigma practitioners who have got the Lean Six Sigma training or another Lean Six Sigma Green Belt course will know that Six Sigma teams are confronted with many different types of data in different units of measure. (2) Relative Measures. Groups with identical means can be more or less widely dispersed. Types of Measure of Dispersion. Like, Kilograms, Rupees, Centimeters, Marks etc. Mean is the most commonly used Central Tendency. Supported on a bounded interval. SD is rigidly defined and its value is always definite. This is what we measure by Measures of Dispersion. Dispersion can be measured by several different statistics… Dispersion is a statistical term that describes the size of the distribution of values expected for a particular variable. Easy to understand and simple to calculate 2. It occupies a central position in statistics. Statistics estimating dispersion. Measures of Central Tendency serves to locate the center of the distribution. There are 3 main types of descriptive statistics: The distribution concerns the frequency of each value. Affected by sampling fluctuations 6. (iv) To facilitate the use of other statistical measures such as correlation analysis, the statistical quality control, regression analysis etc. The three main ones are the range, the interquartile range and the standard deviation. Getting to know the range, interquartile range and standard deviation The three most important measures of dispersion are defined as […] It is the most widely used and important measure of dispersion. ; The central tendency concerns the averages of the values. 2. The Six Sigma approach is data-driven. Types of descriptive statistics. Here, the dispersion is more in example 2 as compared to example 1. However, they do not reveal how the items are spread out on either side of the center. Absolute measures of dispersion: It is … 2.To Compare Variability: We are in the general habit of comparison, may it be income, weight, height or temperature. 1.To use other Statistical Methods: After getting value of dispersion we can proceed to other techniques such as to locate Co-relation or lines of Regression (Regression Analysis). Merits of SD: 1. ; The variability or dispersion concerns how spread out the values are. Based on all values 3. It means the values are more scattered in example 2, as compared to the values of example 1. Absolute measures of dispersion are expressed in the unit of Variable itself. Relative measures of dispersion are obtained as ratios or percentages of the average. 3. Measure of dispersion may be broadly classified into two types:-a. The measures of dispersion you use in psychology statistics show you the spread or variability of the variable you are measuring. To find out how the group is distributed, we need to know how far from or close to the mean individual scores are Some statistics look at how widely scattered over the scale the individual scores are. Relative measures of dispersion are measures of the variance of a range of values regardless of its unit of measure. These are also known as ‘Coefficient of dispersion.’ Capable of further algebraic treatment. Types of Measures of Dispersion (1) Absolute Measures. ; The logit-normal distribution on (0,1). 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