Why is the meannot enough for us to understand our data, why do we need to comprehend variation as well?
The mean is an excellent way to measure central tendency. It is a single data representing a whole data set. It is familiar to most of the people. Every data has a single mean and it is useful in various statistical procedures like comparing mean from several data sets.
Mean is a reliable but it can be affected by extreme values present in the data. Such values don’t represent data and inclusion of such extreme values may give a mean which may not represent central tendency. Suppose, we are given data …
Solution explains shortfalls of using mean. It discusses how variance can be useful in explaining data in a better way.