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The median is a measure of central tendency. In a set of data, it is the value such that half the observed values are larger and half are smaller.
We use mean for measure the central tendency and mode for observed most common value of observation.
When your data is symmetric and narrowly spread about it.Each measure of central tendency has strengths and weaknesses. The mean takes every piece of numeric data and treats them all as equally weighted. Outliers will have equal weight with any other measure. In the long run, when you want to estimate a value that is least different from all values, use the mean. If you want your estimate to be closest to absolutely correct or to be absolutely correct most often, use the mode, and if you want your estimate to be as likely to be above the true value as below, use the median.
You can use the mean to answer some statistical questions: it is a measure of the central tendency of a set of data. However, it is no good in identifying the maximum value of a set of data, for example.
This would be the average. When the numbers are all over the place, it is difficult to use them to come to conclusions.