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LESSON 12
Pie chart .
A pie chart presents the
data in the form of a circle that is
divided into sections .
Each section corresponds to a particular data value.
The area of each section is proportional to the proportion of
the category that section represents .
Pie charts are primarily
constructed for qualitative data where the relative size of each section
depicts the percentage.
So here is an
illustration of a generic pie chart
where like all graphical methods a descriptive title appears at the top.
Then each individual
section is clearly labeled with the corresponding data value and percentage .
The relative size of each section depicts the percentage of each
category.
For instance, the entire pie or circle accounts
for 100% of the data.
If we're to cut this 100% in half, we would then
show 50 50 % slices .
If you cut the halves in
half ,we then have quarters or 25 percent segments of the pie.
So the overall relative size of each piece corresponds to the percentage
that that data value occupies.
Here cutting the 100%
into thirds, we get 33 33 % sizes.
Or other various sizes
10%, 15% together make 25%, 20%, 30% together make up 50%.
In statistics drawing a
pie chart by hand is rarely done.
In practice ,pie charts
are constructed using software applications.
To describe the distribution
of qualitative data represented in a pie chart , the various categories observed are merely
mentioned along with their associated percentages.
This is because
qualitative data that's at the normal level doesn't follow a particular order
and using the conventional terms like bell-shaped or skewed do not apply to
this type of data.
So when describing the
pie chart, you merely just mention the
categories along with their associated percentages.
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