CONTENTS - Department of Mathematics and Statistics - University ...

These are not like categorical data as 3
children is three times as many as one.
This type of data can be treated as though it
is categorical but this discards information
about the magnitude of the relationships
between successive outcomes. Ordinal
categorical data is important.
(b) Continuous quantitative measures. Here
recorded values or observations result from
some form of measurement [e.g. height,
age, blood pressure, serum cholesterol,
oxygen levels in a lake].
• Often no restriction on values other than
that caused by accuracy of equipment
for recording values.
• Often the values show pattern similar to
what is called the bell-shaped normal
curve with many values clustered
around a central point and few values in
the tails.
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Section 1