Oh, absolutely! If the first quartile (Q1) and the third quartile (Q3) of a dataset are the same, then the interquartile range will be zero. It just means that the middle 50% of the data values are all clustered together closely, like a group of happy little trees standing side by side.
the interquartile range is not sensitive to outliers.
The interquartile range is the upper quartile (75th percentile) minus (-) the lower percentile (75th percentile). The interquartile range uses 50% of the data. It is a measure of the "central tendency" just like the standard deviation. A small interquartile range means that most of the values lie close to each other.
interquartile range
how do you find the interquartile range of this data
Both are measures of spread or dispersion.
Yes, it is.
what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46
the interquartile range is not sensitive to outliers.
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
interquartile range or mean absolute deviation.
If presents you with the upper and lower quartile range, although you have to do calculations in order to find the interquartile range, so no, it does not,
The interquartile range is the upper quartile (75th percentile) minus (-) the lower percentile (75th percentile). The interquartile range uses 50% of the data. It is a measure of the "central tendency" just like the standard deviation. A small interquartile range means that most of the values lie close to each other.
interquartile range
On the standard deviation. It has no effect on the IQR.
how do you find the interquartile range of this data
Both are measures of spread or dispersion.
No, the interquartile range (IQR) cannot be negative. The IQR is calculated as the difference between the third quartile (Q3) and the first quartile (Q1), which represents the spread of the middle 50% of a dataset. Since Q3 is always greater than or equal to Q1 in a sorted dataset, the IQR is always zero or positive.