Presentation Overview

The slide covers comprehensive content on <p>&bull;The measures of central tendency, such as the mean, median, and mode, do not reveal the whole picture of the distribution of a data set.</p> <p>&bull;Two data sets with the same mean may have completely different spreads.</p> <p>&bull;The variation among the values of observations for one data set may be much larger or smaller than for the other data set. (Note that the words <em>dispersion, spread, and variation </em>have the same meaning.)</p> <p>&bull;Thus, the mean, median, or mode by itself is usually not a sufficient measure to reveal the shape of the distribution of a data set.</p> <p>&bull;We also need a measure that can provide some information about the variation among data values.</p> <p>&bull;The measures that help us learn about the spread of a data set are called the <strong>measures of dispersion</strong></p> <p>&bull;The measures of central tendency and dispersion taken together give a better picture of a data set than the measures of central tendency alone.</p> <p>&bull;The three measures of dispersion we are going to look at are: range, variance, and standard deviation.</p> . You can play the slide in our in-built slide player or download for offline reading.