Dispersion can be measured by several different statistics… Some statistics look at how widely scattered over the scale the individual scores are. The measures of dispersion you use in psychology statistics show you the spread or variability of the variable you are measuring. The following are the requisites of ideal measure of dispersion: It should be 1. To find out how the group is distributed, we need to know how far from or close to the mean individual scores are Affected by extreme values 5. Rigidly defined 4. It means the values are more scattered in example 2, as compared to the values of example 1. 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. Mean is the most commonly used Central Tendency. (2) Relative Measures. Getting to know the range, interquartile range and standard deviation The three most important measures of dispersion are defined as […] In the Measure phase of the DMAIC process in Six Sigma, there are many types of statistical parameters that graduates of Lean Six Sigma Green Belt training or other Online Six Sigma courses should know. Groups with identical means can be more or less widely dispersed. Relative measures of dispersion are measures of the variance of a range of values regardless of its unit of measure. Here, the dispersion is more in example 2 as compared to example 1. 2. It is the most widely used and important measure of dispersion. There are two types of Measures of Dispersion in Statistics: Absolute Measure; Relative Measure This is what we measure by Measures of Dispersion. The three main ones are the range, the interquartile range and the standard deviation. Dispersion is a statistical term that describes the size of the distribution of values expected for a particular variable. 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). 2.To Compare Variability: We are in the general habit of comparison, may it be income, weight, height or temperature. ; The central tendency concerns the averages of the values. Relative measures of dispersion are obtained as ratios or percentages of the average. Measures of Central Tendency serves to locate the center of the distribution. Easy to understand and simple to calculate 2. These are also known as ‘Coefficient of dispersion.’ Like, Kilograms, Rupees, Centimeters, Marks etc. ; The variability or dispersion concerns how spread out the values are. ; The logit-normal distribution on (0,1). The Six Sigma approach is data-driven. 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. Measure of dispersion may be broadly classified into two types:-a. (iv) To facilitate the use of other statistical measures such as correlation analysis, the statistical quality control, regression analysis etc. 3. It occupies a central position in statistics. Statistics estimating dispersion. To achieve the required degree of result one tries to compare the variability in the data. SD is rigidly defined and its value is always definite. However, they do not reveal how the items are spread out on either side of the center. Absolute measures of dispersion are expressed in the unit of Variable itself. Absolute measures of dispersion: It is … Capable of further algebraic treatment. Supported on a bounded interval. Based on all values 3. 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