![]() ![]() ![]() The primary purpose of this analysis is simply to generate a table of these summary (mean, median, etc.) and error (SD, SEM, etc.) values. Note that you do not need to perform this analysis manually in order to graph the means or errors of your data, as Prism will handle this automatically when creating graphs of your data (you can use the Format Graph dialog to specify if Prism should display individual points or error bars for SD, SEM, 95% Confidence Intervals, or range). 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. Here's an example of a box and whisker plot: In the image above, we can see the distribution of mathematics scores between Armenia and Hungary. 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. A box and whisker plot is a representation of statistical data that displays information about the distribution of the values. 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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