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  1. swap007
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    A chi-squared test basically helps to understand the relationship between
    2 categorical variables and helps us in determining if they really depend on one
    another.

    Example:
    Brand A Brand B
    Men 100 20
    Women 15 82

    In this example, without performing any test, we can see that
    Men prefer Brand A and women prefer Brand B. So, Gender
    does play a role in brand preference.

    The data in this example is clearly inclined towards their respective categories,
    but when you have data which does not give a clear picture or there many categories
    instead of just 2 , you will need to perform chi-square test to determine the dependency.

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