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**Charts and tables**

Charts and tables ought to be ideally understandable even without reading the accompanying text.

The main point of the chart title is therefore to assist understanding.

If the subject
of the chart or table is expressed in a way which makes it completely
clear, say it is in the middle of a story about Nigeria, then the title
need not reflect the subject.

However, in that case the title should be unambiguous.

Table

Tables
always present lists of numbers or text in columns and can be used to
analyze literature, explain variables, or present the wording of survey
questions. They could also be used to make a paper or writing more
readable, and typically are used to present raw data.

Chart

Chart
is a representation of data done graphically, where the data is
represented by symbols, like bars for bar chart, lines for line chart,
or slices for pie chart.

Graph

A graph could be a
representation of a set of object, in which some pairs of that objects
are connected by links. Vertices are the mathematical abstractions that
interconnected objects, and edges are the links that connect some pairs
of vertices.

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Basic statistical measures and representations

The
terms mean, median, and mode are those statistical measures which
describe properties of statistical distributions. A distribution in
statistics is the set of all possible values for terms that represent
defined events.

The statistical distributions are of two major types.

1.
Discrete random variable: This connotes that all term has a precise and
isolated numerical value. For instance, a distribution with a discrete
random variable is the set of results for a test taken by a class.

2. Continuous random variable: Here, a term can acquire any value within an interval or span that is unbroken.

Mean

The
mathematical average of all the terms is the most common expression for
the mean of a statistical distribution with a discrete random variable.
For calculation, it is the sum of the values of all the terms, divided
by the number of terms.

We can obtain the mean of a statistical
distribution with a continuous random variable, which is also called the
expected value by integrating the product of the variable with its
probability. The expected value is always denoted by the lowercase Greek
letter mu (µ).

Median

The median of a distribution is
always dependent on whether the number of terms in the distribution is
even or odd. If the number of terms is odd, therefore the middle value
is the median. If the number of terms is even, therefore the average of
the two terms in the middle is the median, such that the number of terms
having values higher than or equal to it is the same as the number of
terms having values lower than or equal to it.

Mode

The
value of the term that often occur the most is the mode of a
distribution with a discrete random variable. It is common for a
distribution with a discrete random variable to have more than one mode,
particularly if the terms are not much. This normally happens when two
or more terms occur with the same frequency, and occurs more often than
any of the others.

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Bimodal
is a distribution with two modes, while a distribution with three modes
is known as trimodal. The maximum value of the function is the mode of a
distribution with a continuous random. There may be more than one mode
as with discrete distributions.

Range

The difference
between the maximum value and the minimum value is the range of a
distribution with a discrete random variable. That is for a distribution
with a continuous random variable, where the value of the function
falls to zero, the range would be the difference in the two extreme
points on the distribution curve. The value of the function is equal to
zero for any value outside the range of a distribution.
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