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. Understand the results of descriptive and normality tests.Use Prism to perform statistics to describe your data sets.In addition, this video will cover how to test for normality in your experimental data.
Learn how to find out more about your data in Prism, including quartiles, median, SD, SEM, confidence interval, coefficient of variation, geometric mean, and more.
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