Which of the following statements are true?
Check all that apply.
The mean is affected by outliers.
The mean is always a more accurate measure of center than the median.
Removing an outlier from a data set will cause the standard deviation to increase.
If a data set’s distribution is skewed, then 95% of its values will fall between two standard deviations of the mean.
If a data set’s distribution to skewed to the right, its mean will be larger than its median.
Check all that apply.
The mean is affected by outliers.
The mean is always a more accurate measure of center than the median.
Removing an outlier from a data set will cause the standard deviation to increase.
If a data set’s distribution is skewed, then 95% of its values will fall between two standard deviations of the mean.
If a data set’s distribution to skewed to the right, its mean will be larger than its median.
