grand mean मीनिंग इन हिंदी

अधिक: आगे

The intercept is the grand mean ( the mean of all the conditions ).
It may be hard to sympathize with people of such grand means worrying about high marginal tax rates.
Weighted effects coding is simply calculating a weighted grand mean, thus taking into account the sample size in each variable.
Now in both instances I take it that SST is ( the mean of every piece of data-the grand mean ) squared?
Rather, the comparison is being made at the mean of all groups combined ( " a " is now the grand mean ).
Therefore, one is not looking for data in relation to another group but rather, one is seeking data in relation to the grand mean.
: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.
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.
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 ).
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.