Question

The mean is a better descriptor for skewed distribution.
a. true
b. false

Answer 1

The correct answer is:

b. false

Step-by-step explanation:

When a distribution is skewed, this means that there is at least one value that changes the shape of the distribution. This value is much different from the rest of the data; this makes it an outlier.

An outlier has an affect on the mean; if it is higher than the rest of the data, it increases the mean. If the outlier is lower than the rest of the data, it decreases the mean.

Answer 2

Most likely true. It depends. When the distribution is skewed with an extreme tilting it to one side, median would be a better measure of central tendency. If the extremities are almost balanced on both sides then mean would be a better measure of central tendency.