DATA STRUCTURES
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Before doing any data analysis, consider what type of data you have. Data fall into two broad categories: continuous and discrete.
- Continuous data are usually measurements or observations, (e.g. weight, height)
which can take any value in some number range and will have associated
units (m, kg, etc).
- Discrete data can only take integer (whole number) values. For example, the number of animals in an experiment is discrete. A subset of discrete data is categorical data, where the numbers denote a category, rather than a numerical value, e.g. 1=male, 2=female.
Basic statistics in Excel   23.2.99   Page: 3 of 25.
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