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This is a 3 page paper that provides an overview of statistical correlation. The methods of testing for correlation are explored. Bibliography lists 2 sources.
Page Count:
3 pages (~225 words per page)
File: KW60_KFlstat7.doc
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variable impact changes in another variable. This has a wide variety of uses and applications. For example, suppose that one identified a particular town where a higher than average incidence
of people with schizophrenia has been established. One might use correlation to establish that being from that town and having schizophrenia are factors that are related to one another beyond
the scope of mere chance. Then, one might explore deeper and use the same process to establish links between various environmental factors evident in the town and the causation of
schizophrenia. Of course, this is not to say that correlation can only adopt a positive configuration. In practice, the comparison of two variables might reveal any one of several
types of correlation. For instance, if the correlation between two variables is measured at 0, one might refer to this as a "zero correlation", which means that there is no
correlative relationship between the two variables (Garson, 2011). Likewise, if one observes an increase in one variable along with an increase in another, this establishes a positive correlation, whereas an
increase in one variable but a decrease in the other constitute a negative correlation (Garson, 2011). A correlation that represents a rise in one variable being perfectly equal to a
rise in the other variable would be a linear correlation, while changes in variables that follow no predictable trend might be said to be a nonlinear correlation (Garson, 2011).
It is important to establish correlation in statistics for many different reasons. For instance, correlation might be used in order to identify the cause of a major problem, such as
the incidence of schizophrenia mentioned above. It might also be used to test the effectiveness of a drug to treat a certain disease, in contrast to the effectiveness of placebo
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