Measures of Central Tendency and Dispersion: Do all the players in a soccer team have the same height, weight, or years of experience? Of course not! Suppose, if we make a table to record each players ‘years of experience’ then we get a ‘distribution of data’. Here, the knowledge of no. of the experienced players can help a lot to predict the kind of game this team would play.
Now, to extract such resourceful information from the provided distribution of data we need to study and categorize it. So, to categorize this data we need to know about measures of central tendency and dispersion. In layman’s terms, central tendency is nothing but ‘average’. And, dispersion helps in evaluating how near or far the other values are from this average value.