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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.

The correct answer is:

b. false

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.

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