Median The data must be ranked (sorted in ascending order) first. When there is more than one mode, it is difficult to interpret and/or compare.When no values repeat in the data set, the mode is every value and is useless.Not necessarily unique - may be more than one answer.Extreme values (outliers) do not affect the mode.When to use: Use the mode when the data is non-numeric or when asked to choose the most popular item. Multimodal - Data sets that contain more than two modes Because 5 is occurring for the most of the time. It is the most common value in a distribution E.g. MEASURES OF CENTRL TENDENCY: UNGROUPED DATA Mode: The mode is a measure of central tendency. To use the range, variance and standard deviation to describe how data “spread out”. To use the mean, median and mode to describe how data “bunch up” To use summary statistics to describe collection of data. Dispersion: Dispersion is the spread of the data in a distribution, that is, the extent to which the observations are scattered. It does not focus on the span of data set or how far values are from the middle numbers. Measures of central tendency yield information about the center, or middle part, of a group of a numbers. Measures of central tendency are also known as Measures of location. Dispersion Central Tendency: Central tendency is the middle point of a distribution. Two these characteristics are particularly important to decision makers: 1. We can use single numbers called “Summery Statistics’ to describe characteristics of a data set. Measures of Central Tendency: Ungrouped Data. Measures of Central Tendency and Variability: Grouped Data