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# tutorial_10 - Correlations A correlation compares the rate...

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Correlations A correlation compares the rate at which some property or characteristic shows up in two different groups. Wealthy voters voted for the Republication candidate in the recent election more than nonwealthy voters. This can be written as: The percentage of wealthy people who voted for the Republican candidate in the recent election is greater than the percentage of nonwealthy people who voted for the Republican candidate. More precisely it can be written in two different passages: 1. X percent of the wealthy people voted for the Republican candidate. 2. Fewer than X percent of the nonwealthy people voted for the Republican candidate. The properties are the same (voted for the Republican candidate) and the populations are different (wealthy voters and nonwealthy voters). CR: A is correlated with B in population P = Within population P , the percentage of A s who are B is greater than the percentage of non- A s who are B . A = the property that picks out one of the subpopulations (being wealthy) B =the property in question (voting for the Republican candidate) P =overall population (voters) Standard form for correlation statements : A is correlated with B in population P. (p. 260) 1

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In the example this would be written as being wealthy is correlated with voting for the Republican candidate in the recent election. This is an example of a positive correlation: 2 factors (being wealthy and voting for the Republican candidate) are positively correlated in population P (voters) when the percentage of A s (wealthy people) who are B (voted for the Republican candidate) is GREATER THAN the percentage of non- A s who are B. A negative correlation would be when the percentage of
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tutorial_10 - Correlations A correlation compares the rate...

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