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Definition For Interquartile Range. The interquartile range IQR was used as the statistic for variability of rating and ranking responses and an IQR of 1 was determined by the researchers to indicate consensus on an item. Quartile divides the range of data into four equal parts. The interquartile range of a dataset often abbreviated IQR is the difference between the first quartile the 25th percentile and the third quartile the 75th percentile of the dataset. Definition of interquartile range.
Statistics the difference between the value of a variable below which lie 25 per cent of the population and that below which lie 75 per cent. Interquartile range In descriptive statistics the interquartile range also called the midspread or middle fifty is a measure of statistical dispersion being equal to the difference between the upper and lower quartiles IQR Q3 Q1. IQR Q3 Q1 Equivalently the interquartile range is the region between. The values that split each part are known as the first second and third quartile. The interquartile range IQR was used as the statistic for variability of rating and ranking responses and an IQR of 1 was determined by the researchers to indicate consensus on an item. In the descriptive analysis mean with standard deviation was used for quantitative variables and when indicated median with interquartile rangeIQR was used for ordinal variables.
The range of values of the variable in a statistical distribution that lies between the upper and lower quartiles.
And they are represented by Q₁ Q₂ and Q₃. IQR Q3 Q1. The interquartile range IQR contains the second and third quartiles or the middle half of your data set. Statistics the difference between the value of a variable below which lie 25 per cent of the population and that below which lie 75 per cent. And they are represented by Q₁ Q₂ and Q₃. A measure of the spread of the distribution.