Frequentist approaches to inferential statistics primarily involve trying to compare descriptive statistics of two data sets to determine if they are [[statistically significant|significantly]] different. One of the most common approaches is to test a given data set against a [[null hypothesis]] or the data set that would be created if the values were the result of random chance alone. For example, if a given head came up 9 times as heads and 1 time as tails you would compare the number of heads, 9, to the number of heads that would be expected if chance alone was operating, or 5.
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Frequentist approaches to inferential statistics primarily involve trying to compare descriptive statistics of two data sets to determine if they are [[Statistical significance|significantly]] different. One of the most common approaches is to test a given data set against a [[null hypothesis]] or the data set that would be created if the values were the result of random chance alone. For example, if a given head came up 9 times as heads and 1 time as tails you would compare the number of heads, 9, to the number of heads that would be expected if chance alone was operating, or 5.
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Testing against the null hypothesis is sometimes referred to as an [[omnibus]] test since it is testing the idea that a given data set is the result of anything other than chance. Often it is much more desirable to test specific data sets against each other.
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Testing against the null hypothesis is sometimes referred to as an [[omnibus]] test since it is testing the idea that a given data set is the result of anything other than chance. Often it is much more desirable to test specific data sets against each other.