If Prism simply looked at those data as eight independent values, the mean would be 5.375, but since the values in different data sets are unlikely to be independent, Prism does not do this calculation. It then computes the grand mean of those three values (and their standard deviation) so the results 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. For example, let's calculate "Row means with SD" for three datasets with 3, 2 and 3 replicates in each. If the data were entered onto a single subcolumn for each data set, then there is no ambiguity.īut what if you entered data on a table with subcolumns? In this case, the calculated total/mean values are based on the mean value of each data set for corresponding row. This choice is used rarely, but it helps you consolidate a larger table into a single data set. Calculate a total/mean for the entire data table The only purpose of this analysis is if you want to see the SD or SEM values. Use settings on the Format Graph dialog (double-click on any symbol to see it) to plot individual points or to choose SD, SEM, 95%CI or range error bars. Prism computes the error bars automatically. You don't have to choose any analyses to make these graphs. Prism will automatically create graphs with the mean and SD (or SEM). Then choose Row means/totals, and choose one total/mean for each data set. If you enter data onto XY or two-way tables with replicate Y values in subcolumns, and want to view a table of mean and SD (or SEM) values, click Analyze and choose to do a built-in analysis.
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