Thus, they are employed in the same data situations as the mean and standard deviation, except when the data are significantly non-normally distributed, the dependent variable's measurement scale is ordinal (rather than interval or ratio), or the sample size is too small. When the data are not normally distributed, not measured on an interval scale, and/or there is only a small sample, a summary of the distribution of scores (central and spread) for a variable is needed. Semi Interquartile Range = (Q 3– Q 1) / 2 The formula for Semi Interquartile Range is as follows: It's calculated as half the difference between the 75th percentile (Q 3) and the 25th percentile (Q 1).In simpler terms, semi-interquartile range refers to one-half of the difference between the first and third quartiles. Read More: Interquartile Range Formula: Definition, Formula and CalculationĪ measure of spread or dispersion is the semi-interquartile range.
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