![]() When data are entered into data sets that contain subcolumns, this option will instruct Prism to calculate a separate mean (or median, total, etc.) for each row within each data set. However, since values in different data sets are unlikely to be independent, Prism does not perform this calculation. If Prism simply looked at these eight values as independent values, it would have calculated a Mean = 5.375 and a SD = 2.504. ![]() It then computes the grand mean of those three values (and the corresponding standard deviation) so that the results from this analysis are Mean = 5.333, SD = 2.517, N = 3. Prism will first compute the mean values for each data set, which are 3, 5, and 8. The data in the first row may look like the following: For example, consider what would happen if you choose to calculate "Row means with SD" for three data sets that contain 3, 2, and 3 replicates respectively. However, when data are entered into multiple data sets each with multiple subcolumns, Prism bases the resulting summary calculations for the row on the total/mean/median/etc. If data are entered into the table in only a single data set, or if each data set only has a single subcolumn of data, there's no ambiguity as to how Prism would perform the selected calculations. ![]() Perform Calculations on the entire row or for each data set column individually Compute one mean, median, etc.
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