what care should be taken while plotting satestical institute into the grap
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Answer:
Presenting statistical information – Graphs
Introduction
This document provides guidelines on how to create meaningful, easy to read and well-formatted graphs for
use in statistical reporting. It contains a brief overview of the most common types of graphs, and hints and tips
on presentation.
Well-presented graphs can greatly enhance the readability of a research report. Graphs simplify data and
display key findings in pictorial form. A graph is a visual representation of data that can present complex
information quickly and clearly, and assist the reader to see patterns and trends in data.
Generally speaking, a graph is an effective way of communicating data when:
• precise numeric details are not required
• a trend or comparison can be demonstrated
• there are relationships between data values.
Key terms
The following terms are used in this paper. Fuller definitions and further information follow in the document.
Term Brief definition
Axes a graph consists of two axes called the x-axis (horizontal) and y-axis (vertical)
Categorical data data which fall into one of two or more discrete categories, but with no intrinsic ordering to the
categories
Confidence interval provides a range of values around the estimate, within which the true value can be expected to fall
Continuous data data on a numeric scale
Interval data data that have both an order, and an equal spacing between categories
Legend provides a key to the various data plotted on a graph
Ordinal data similar to categorical data, except there is a clear ordering to the variables
Statistical
significance
a statement about the likelihood of findings being due to chance