Question

Is the range always the best way to measure the variability for a distribution of quantitative data? why or why not?

Answer 1

The strongest indicator of variability in data sets with outliers or skewed distributions is the interquartile range. It's unlikely to be impacted by outliers because it's based on numbers that come from the centre half of the distribution.

Your data's spread from the lowest to the greatest value in the distribution is indicated by the range. The calculation of this variability index is the simplest.

If your distribution doesn't contain any extreme values, the range is typically a decent indicator of variability. The range can provide information about the breadth of the distribution when combined with metrics of central tendency. But if your data collection contains outliers, the range may be deceptive.

Learn more about range here: brainly.com/question/17553524

#SPJ4