The intercept is the grand mean ( the mean of all the conditions ).
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It may be hard to sympathize with people of such grand means worrying about high marginal tax rates.
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Weighted effects coding is simply calculating a weighted grand mean, thus taking into account the sample size in each variable.
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Now in both instances I take it that SST is ( the mean of every piece of data-the grand mean ) squared?
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Rather, the comparison is being made at the mean of all groups combined ( " a " is now the grand mean ).
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Therefore, one is not looking for data in relation to another group but rather, one is seeking data in relation to the grand mean.
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:Let's start with SSA . Take the data that have been " corrected " by subtraction of the grand mean from every entry in the whole vector.
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Next one calculates the means for each state, and finally the grand mean ( the mean of the state means ) as well as the corresponding standard deviation of the state means.
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The " b " values should be interpreted such that the experimental group is being compared against the mean of all groups combined ( or weighted grand mean in the case of weighted effects coding ).
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Now one has the necessary information for a preliminary determination of which states have abnormally tall or short men by comparing the means of each state to the grand mean ?some multiple of the standard deviation.
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