Measures of central tendency are statistics that represent the center or typical value of a data set. Examples of measures of central tendency include the mean, median, and mode.
Measures of dispersion, on the other hand, are statistics that describe how spread out the data in a data set is. Examples of measures of dispersion include the range, interquartile range, and standard deviation.
In general, measures of central tendency give you an idea of the center of a data set, while measures of dispersion give you an idea of the spread of the data. Together, these two types of statistics can give you a good overall picture of the data in a data set.