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.

Verified Answer :

The correct answer for the question that is being presented above is this one: "If a data set’s distribution is skewed, then 95% of its values will fall between two standard deviations of the mean; The mean is always a more accurate measure of center than the median. "

Answer:

The mean is affected by outliers

If data sets distribution is skewed, than 95%

Step-by-step explanation: