Â **I NEED A POSITIVE COMMENT BASED IN THIS ARGUMENT. BETWEEN 150-200 WORDS**

Mean, median and mode are all valid measures of centralÂ tendency, but under different situations, some measures of tendencyÂ become more appropriate to use than others. The different situationsÂ are when the populations are not uniform, that is when you use themÂ separately according to the one that is suitable for that particularÂ instance (Park, 2015).Â

Â One can use mean/ median or mode inÂ a population that is uniform. A normal population will consist of sameÂ people with the same goal to achieve. An example of such population isÂ students. In class, the measures of central tendency will be used toÂ grade students after the results and get their mean. AnotherÂ characteristic of a population that we can use the measures of centralÂ tendency is where the population is non-uniform regarding age, height,Â weight, etc. In such a situation, if we need to get a value that willÂ be applied to that population, we need to get a normal number thatÂ will take care of the smallest and the biggest. The measure of centralÂ tendency will be mean. The mean will be the average of the totalÂ number of that population (Cuevas, 2014).

Â The other characteristic of a population that you can useÂ measures of central tendency will be the gender. Regarding a gender,Â you may find that a certain gender is dominant. The number of malesÂ may be higher than that of females. In this case, the mode is used toÂ know the type of gender that is high in number. Mode gives the highestÂ number of an element that is repeated most (Park, 2015).

Reference

Cuevas, A. (2014). A partial overview of the theory of statisticsÂ with functional data. Journal of Statistical Planning and Inference,Â 147, 1-23.

Park, H. M. (2015). Univariate analysis and normality test usingÂ SAS, Stata, and SPSS.