when should you use the median and interquartile range as your measure of center and measure of variability…
when should you use the median and interquartile range as your measure of center and measure of variability to compare populations shown on a box plot? check all that apply. when there are outliers in the data sets when there are no big gaps in the middle of the data sets when the plots representing the data are symmetrical when the plots representing the data are nonsymmetrical when there are no outliers in the data set
Answer
Brief Explanations:
The median and inter - quartile range are resistant to outliers. They are good measures for non - symmetric data. When there are outliers, the mean and standard deviation can be skewed, so the median and IQR are preferred. For non - symmetric data, the median gives a better measure of the center than the mean.
Answer:
when there are outliers in the data sets when the plots representing the data are nonsymmetrical