Contingency Tables: Test For Independence
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چکیده
• If we have data that are measurable (eg. height, time, weight, age, test score, etc.) then we can use the coefficient of correlation (r) to measure the strength of the linear association between two sets of data. • If we have two sets of rankings, then we can use Spearman's Rank Order Correlation Coefficient to measure the strength of the association between them. • However, both of these techniques are not useful when you want to find out whether or not two sets of categorical data are related. For example, is having fair hair independent to having dark colour (dark brown or black) eyes? Another example could be: does taking pill x have any effect on being energetic? • To find out if the data are related, we will need to use a Contingency Table or the Test For Independence.
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