A second problem with modes, is that they are dead ends as far as further statistical calculations are concerned. After we have found the mode, we are done with it. Modes are rarely used in other calculations. However, there are situations when modes are preferred as the measure of central tendency. When the variable is measured at the nominal level, modes are usually reported.
Modes are also useful if several modes exist in a sample or population.
Finally, if you must use one of the measures of central tendency to represent all the values in your sample, and if you are concerned with not making errors that are simply defined as being incorrect, there is no better representative measure than the mode. When error is defined as simply being incorrect when you guess a variable's value, you measure your error by simply counting how many times you are incorrect. The Count of Errors page illustrates how selecting the mode as the one value to represent your data minimizes error defined in this manner. Some textbooks define major and minor modes in a distribution. However, this distinction is not definitionally correct.