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I want to look at the descriptive statistics of these data, so I'm going to click on descriptive statistics from the column analysis option. When you click on the analyzed data, you get the analyzed data option window and from here you can choose a number of analysis from the selection on the left hand side. In this example, I'm going to click on the analyze button from the group data shown here in the graph. You can carry out descriptive statistics on any column of data in Prism by clicking on the analyze button in either the graph or the table view or click on new analysis within the results window. However, before testing for normality, we're going to ask a few questions of these data and ask Prism to summarize these data in the form of a descriptive statistics. Group D, however, has a very narrow distribution of data, very small error bars, and I would be concerned looking at this data, whether they might be normally distributed. You can clearly see that groups A, B and C appear to have a fairly wide distribution of data and appear to represent the outcome of three different experiments. We can view this data as a graph, and I have prepared the same data as a scatter graph so we can observe the distribution of our data within each group. You can see data for groups A, B, C, and D which have different end numbers in each group and clearly a different numerical outcome in terms of the data set. On the screen, you can see the results of four experimental outcomes. In this brief walkthrough, I'm going to look at ways of describing your data sets and also how to test for normality within your experimental data using GraphPad Prism.

Hello, my name is James Clark from King's College London. This video is part of the Essential Statistics series, presented by Dr James Clark, from the School of Cardiovascular Medicine and Sciences at King’s College London.