.

Besides, why mean is the best measure of central tendency?

Skewed Distributions and the Mean and Median However, in this situation, the mean is widely preferred as the best measure of central tendency because it is the measure that includes all the values in the data set for its calculation, and any change in any of the scores will affect the value of the mean.

Additionally, why is median better than mean? “Use the median to describe the middle of a set of data that does have an outlier. Advantages of the median: Extreme values (outliers) do not affect the median as strongly as they do the mean, useful when comparing sets of data, it is unique – there is only one answer.

In this manner, is mean or median a better measure of central tendency?

Mean is the most frequently used measure of central tendency and generally considered the best measure of it. Median is the preferred measure of central tendency when: There are a few extreme scores in the distribution of the data.

Is mean or median more accurate?

The answer is, of course: it depends (on the shape of the underlying distribution). For example: If the data is Gaussian, the mean is more accurate. If it comes from a double exponential distribution, the median is more accurate.