It stands for the Inter-Quartile Range.
Given a set of observations, put them in ascending order. The lower quartile (Q1) is the observation such that a quarter of the observations are smaller (and three quarters are at least as large). The upper quartile (Q3) is the observation such that a quarter are larger. [The middle one (Q2) is the median.]
Then IQR = Q3 - Q1
IQR = Inter Quartile RangeIQR = Inter Quartile RangeIQR = Inter Quartile RangeIQR = Inter Quartile Range
The interquartile range (IQR) is a measure of variability, based on dividing a data set into quartiles. Quartiles divide a rank-ordered data set into four equal parts.
The IQR gives the range of the middle half of the data and, in that respect, it is a measure of the variability of the data.
Iqr stands for inter quartile range and it is used to find the middle of the quartiles in a set of data. To find this, you find the lower quartile range and the upper quartile range, and divide them both together.
No. The upper quartile, by definition, must be at least as large as the lower quartile.
No.
No. The IQR is found by finding the lower quartile, then the upper quartile. You then minus the lower quartile value from the upper quartile value (hence "interquartile"). This gives you the IQR.
The IQR is 7.5
IQR = Inter-Quartile Range = Upper Quartile - Lower Quartile.
It means either that your horizontal scale is too small or that the Inter-Quartile Range (IQR) is small. A small IQR is an indication of relatively small variation between observations.
IQR = Inter Quartile RangeIQR = Inter Quartile RangeIQR = Inter Quartile RangeIQR = Inter Quartile Range
The interquartile range (IQR) is a measure of variability, based on dividing a data set into quartiles. Quartiles divide a rank-ordered data set into four equal parts.
The IQR is 48. But for only 6 observations, it is an absurd measure to use.
The IQR gives the range of the middle half of the data and, in that respect, it is a measure of the variability of the data.
Because the IQR excludes values which are lower than the lower quartile as well as the values in the upper quartile.
An interquartile range is a measurement of dispersion about the mean. The lower the IQR, the more the data is bunched up around the mean. It's calculated by subtracting Q1 from Q3.
No. The IQR is a resistant measurement.