Difference Between Mean and Median

 The difference between mean and median is explained in detail here. In statistics, mean is the average of a set of data and the median is the middle value of the arranged set of data.

Both values have their own importance and play a distinct role in data collection and organisation. Let us see what are other differences between them: 

Mean

• The average arithmetic of a given set of numbers is called Mean.
• The application for the mean is for normal distributions
• There are a lot of external factors that limit the use of Mean.
• Mean  can found by calculated by adding all the values and dividing the total by the number of values.
• Mean is considered as an arithmetic average.
• It is highly sensitive to outlier data
• It defines the central value of the data set.

Median

• The method of separating the higher sample with the lower value, usually from a probability distribution is termed as the median
• The primary application for the median is skewed distributions.
• It is much more robust and reliable for measuring the data for uneven data.
• Median can be found by listing all the numbers available in the set in arranging the order and then finding the number in the centre of the distribution.
• Median is considered as a positional average.
• It is not much sensitive to the outlier data.
• It defines the centre of gravity of the midpoint of the data set.