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.
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
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.
what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46
Find the difference between the values for quartile 3 and quartile 1.
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
Yes, it is.
how do you find the interquartile range of this data
On the standard deviation. It has no effect on the IQR.