Statistical graphs – Pie Graph
Introduction
The purpose of graph in statistics is to
convey the data to the viewers into pictorial form. That is after you have
organized the data into a frequency distribution, you need to present them in
graphical form. The reason is that it is easier for most people to understand
the meaning of data presented graphically than data presented numerically in
frequency distributions or tables. This is especially true if users have little
or no statistical knowledge.
Uses of statistical graphs
1.
Statistical
graphs can be used to analyse a data or described it.
2.
They are used to get the audience’s attention
in a speaking presentation.
3.
They
are also used to discover a pattern in a situation over a period of time.
4.
Statistical
graphs are used to summarize a data.
The Pie chart or Graph:
This
is a graph divided into sectors, each sector representing a different value of
category. We note that, the angle of each sector is proportional to the value
of the part of the data it represents. Pie graphs are used extensively in
statistics. The purpose of the pie graph is to show the relationship of the
whole by visually comparing the sizes of the sections. Percentages or
proportions can be used. The variable is normal or categorical.
Definition: A pie graph is a circle that
is divided into sections or wedges according to the percentage of frequencies
in each category of the distribution.
The example below shows the procedure for
constructing a pie graph.
Example one:
The table below shows the number of students
who offer certain subjects.
SUBJECT
|
NO. OF STUDENTS
|
Mathematics
|
45
|
Physics
|
39
|
Chemistry
|
28
|
Biology
|
14
|
Economics
|
36
|
History
|
18
|
a)
Draw a
pie graph to illustrate the above information.
b)
What
percentages of the number of students offer mathematics?
SOLUTION
STEPS:
Step 1. Since there are 3600 in a circle, the frequency for each
class must be converted into a proportional part of the circle. The conversion
is done by using the formula;
where f
= frequency for each class and n =
sum of frequencies. Hence the following conversions are obtained. The degrees
should sum up to 3600.
Step 2. Each frequency must be converted to a percentage. This is done
by using the formula:
Hence,
the following percentages are obtained. The percentages should sum up to 100%.
Step 3. Next, using a protractor and a compass, draw the graph
using the appropriate degree measures found in step 1, and label each section
with the name and percentages, as shown below:
a. From
the table in step 2, the percentage of students who offered mathematics is 25%.
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Labels: All Topics, Statistics
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