Z-score (numeric) shows us whether the mean observed (
) in the sample i (
) is different from the mean observed (
) in the total sample N.Z-score (numeric) shows us whether the mean observed () in the sample i () is different from the mean observed () in the total sample N.
To add a Z-score to your analysis, select Z-score (numeric) in calculation type as follows (above standard deviation (estimator):
It appears in your analysis as an extra calculation, as follows:
If the P(Z-score) > , there is a significative difference at 95% between the mean observed in the sample i, and the mean observed in the total population N, . The sign will indicate if the is lower than the .
The Z-score (for numeric questions) will be calculated as follows:
