Measures of Central Tendency Introduction. A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data. As such, measures of central tendency are sometimes called measures of central location. They are also classed as summary statistics.
Dispersion is a statistical term that describes the size of the range of values expected for a particular variable. It is mainly useful to find the relationship between the set of data. The tendency of a data scattered over a range is called as Dispersion.
On the other hand, relative frequency requires one additional step as it is the measure of what proportion or percent of the data values fall into a particular class. A straightforward calculation determines the relative frequency from the frequency by adding up all the classes' frequencies and dividing the count by each class by the sum of these frequencies.
Inferential statistics arise out of the fact that sampling naturally incurs sampling error and thus a sample is not expected to perfectly represent the population. The methods of inferential statistics are (1) the estimation of parameter(s) and (2) testing of statistical hypotheses.