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Home Content 5.1 Introduction 5.2 Table Representation 5.3 Graphical Representation 5.4 Measures of Central Tendency 5.5 Measure of Variability 5.6 Mean, Variance and Standard Deviation for Grouped Data


5.3 Graphical Representation


 
5.3.1
5.3.2
5.3.3
5.3.4

 
All of us have heard the saying "a picture is worth a thousand words".  A graphic display can reveal at a glance the main characteristics of a data set.
5.3.1 Bar graphs
Bar graphs or bar charts are used to display qualitative data.  To construct a bar chart, we mark the various categories on the horizontal axis.  All categories are represented by intervals of the same width.  We mark the frequencies on the vertical axis, then draw one bar for each category such that the height of the bar represents the frequency of the corresponding category.  We leave a small gap between adjacent bars.
Example 5.3-1
Represent the frequency distribution of Table 5.3 using a bar graph.
i.e. Bus. = 6, Comp. = 8, Eng. = 8, Math. = 4, Others = 12
 
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5.3.2 Pie charts
A pie chart is more commonly used to display data in percentage form.  The whole pie or circle represents the total sample or population.  The pie is divided into different portions that represent the percentages of the population or sample belonging to different categories.
Example 5.3-2
Represent the percentage distribution of Table 5.3 using a pie chart. 
i.e. Bus.=17%, Comp=22%, Eng.=17%, Math.=11%, Others=33%.
 
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5.3.3 Histograms
A histogram is a graph in which classes are marked on the horizontal axis and either the frequencies, relative frequencies or percentages are marked on the vertical axis.  The frequencies, relative frequencies or percentages are represented by the heights of the bars. In a histogram, the bars are drawn adjacent to each other and without leaving any gap between them.
Example 5.3-3
Use a histogram to represent the frequency distribution of Table 5.4. 
i.e. 41 - 50 = 5, 51 - 60 = 8, 61 - 70 = 8, 71 - 80 = 4.
 
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5.3.4 Polygons
A polygon is a graph that can be used to represent quantitative data.  To draw a frequency polygon, we first mark a dot above the midpoint of each class at a height equal to the frequency of that class.  Next, we mark two more classes, one at each end of the existing classes, with zero frequencies and mark their midpoints.  In the last step, we join the adjacent dots with straight lines.
Example 5.3-4 
Use a polygon to represent the frequency distribution of Table 5.4. 
i.e. 41 - 50 = 5, 51 - 60 = 8, 61 - 70 = 8, 71 - 80 = 4.
 
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Home Content 5.1 Introduction 5.2 Table Representation 5.3 Graphical Representation 5.4 Measures of Central Tendency 5.5 Measure of Variability 5.6 Mean, Variance and Standard Deviation for Grouped Data