Despite it being the last option of consideration by many analysts, it is a mostly utilized measure. The mode represents the most frequent observation in a data set. For example, if total scores of a football tournament in every match were tabulated as 2, 4, 6, 5, 2, 4, and 2, then the mode of these observations is 2 scores because this observation occurs thrice in the distribution.
The median contributes to the fourth measure of central tendency and it represents the value in the distribution that lies in the middle of the observations of interest. To obtain the median, arranging the observations in ascending order establishes the observation that lies in the middle of the arranged data. For example, in the above given observations of football scores, they can arranged in ascending order as 2, 2, 2, 4, 4, 5, 6, then looking at this order, 4 is the median of the observation as it lies mid the arrangement. In the event there happens to be an even distribution, then the median is the average of the two observations lying in the middle of the ascending arrangement (Donnelly, 2004, p. 44).
The fifth and the final measure in this paper are the distribution shapes and these will give a visual representation of central point of a distribution. The distribution shapes includes, normal or symmetrical distributions, skewed distributions constituting positively skewed distribution and negatively skewed distributions, bimodal distribution and uniform distributions. The symmetrical distribution takes the shape of a bell curve when one plots the observations and the...
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