Question

Why is it best to compare medians and interquartile ranges for these​ data, rather than comparing means and standard​ deviations? A. Some of these data have vastly different​ centers, and the median and interquartile range provide more reliable information in these circumstances. B. These data are fairly symmetric and do not have​ outliers, and the median and interquartile range provide more reliable information in these circumstances. C. Some of these data have outliers​ and/or are​ skewed, and the median and interquartile range are resistant to outliers. D. Some of these data have outliers​ and/or are​ skewed, and the median and interquartile range amplify the effects of outliers and skewness.

Answer 1

Answer:Some of these data have outliers​ and/or are​ skewed, and the median and interquartile range are resistant to outliers.

Step-by-step explanation:

Outliers often characterize a lot of data. Outliers are extreme values which have obvious impact on the value of the standard deviation of a given distribution.

However, the median and interquartile range are resistant to outliers hence they can be used even in the presence of outliers in the distribution.