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What Is The Definition Of Interquartile Range. Whereas the range gives you the spread of the whole data set the interquartile range gives you the range of the middle half of a data set. 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. With an Even Sample Size. You can then explain it by saying that half the sample readings were between these two values a quarter were smaller than the lower quartile and a.
Interquartile range definition is - the range of values of the variable in a statistical distribution that lies between the upper and lower quartiles. The interquartile range is the middle half of the data that lies between the upper and lower quartiles. You should always report both numbers not just the difference between them. This number is what cuts the data set. The range from Quartile 1 to Quartile 3. Finding Outliers with the IQR Minor Outliers IQR x 15 Now that we know how to find the interquartile range we can use it to define our outliers.
Interquartile Range Q 3-Q 1.
A measure of the spread of the distribution. Interquartile Range Q 3-Q 1. This number is what cuts the data set. In other words the interquartile range includes the 50 of data points that are above Q1 and below Q4. The most common method of finding outliers with the IQR is to define outliers as values that fall outside of 15 x IQR below Q1 or 15 x IQR above Q3. With an Even Sample Size.