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.
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.
The IQR is 48. But for only 6 observations, it is an absurd measure to use.
No. The IQR is a resistant measurement.
No, it is not possible.
No.
No. The upper quartile, by definition, must be at least as large as the lower quartile.
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.