The calculation to find the mean is really simple, just as described in its definition, you only have to obtain the sum of the values in the set and then divide the result by the amount of values in it. With this data in mind, let us look at the calculation and definition of mean, median, mode and range: On our lesson about stem and leaf plots we worked through this example of data set where we collected the ages of the people who attend a yoga class. In order to understand what is the mean, median, mode and range of a data set in a more meaningful manner, let us use an example we are already familiar with: So now you can see the importance of studying the center of data, or the tendencies of the data in order to obtain conclusions in statistical studies therefore, let us go into the details of the mathematical tools we use to understand data at this level. On this second case, any far away scattered data value result would instantaneously show a sharp difference between most of the population and the personal background of someone who provided such scattered result. In a numerical experiment, this tendency is what we would see on the data obtained through measurement, values would go towards the true or real value at which we might not arrive every time due to random or systematic errors in our experimentation on the other hand, in a statistical survey, these center values would show the cultural and social tendencies producing a similar, or mostly similar result from a population. In statistics, the term center of data usually refers to the scope at which most of the data values have a tendency to go in other words, when we collect survey or experimentation values that compose a data set, we usually gather data where a certain pattern can be observed, this pattern is the tendency of all the results to go towards a certain side.
Now that you know not only about the basic concepts on the classification of data, but also have learnt about the different shapes of distributions that can result through the variety of possible graphic representations of data, it is time that we combine our knowledge on both areas to study the center of a data set.
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