Frequency Distribution Graphical Representation
Frequency Distributions are visual displays that organize and present frequency counts so that the information can be interpreted more easily. Frequency distributions can show absolute frequencies or relative frequencies, such as proportions or percentages. Statistics is the collection, organization, and interpretation of data. The collected data can be easily analyzed by using graphs. It is well said that one picture is better than a thousand words. The representation then becomes easier to understand than the actual data.
Different types of data representations that are frequently used: Bar graphs, Histograms, Frequency polygons, Pie charts. The statistics from frequency distribution tables can be shown graphically ie in a histogram or pie chart. A histogram is a column chart. The advantage of showing the statistics from a frequency distribution table in graph format is that it lets you see patterns that may not be so obvious by simply looking at groups of numbers.
Here are four important characteristics of frequency distribution. They are as follows:
- Measures of central tendency and location (mean, median, mode)
- Measures of dispersion (range, variance, standard deviation)
- The extent of symmetry/asymmetry (skewness)
- The flatness or peakedness (kurtosis).