ABSTRACT
Frequency distributions are often presented in graphical form because graphs make information easier to visualize. Using visual representations to present data from surveys or other sources make them easier to understand. This is because graphs condense large amounts of information into easy-to-understand formats that clearly and effectively communicate important points. Bar graphs, histograms, frequency polygons, and cumulative percentage curves are excellent ways to illustrate the research results. Frequency distributions of nominal/categorical or ordinal data are often graphed using bar graphs. Frequency distributions of interval or ratio data are often graphed using histograms. Like a bar chart, a histogram is made up of columns plotted on a graph with the height of the column representing the frequency count of that group defined by the column label. Frequency distributions of interval or ratio data can also be represented by frequency polygons. Like a histogram, the horizontal axis represents the class intervals defined by a quantitative variable.
