Visualizing scatter and testing for normality without a frequency distribution 

Visualizing scatter and testing for normality without a frequency distribution 


Before creating a frequency distribution, think about whether you actually need to create one.
In many cases, plotting a column scatter graph is all you need to do to see the distribution of data.
•The graph on the left is a column scatter plot (with line drawn at the mean) made from the "Frequency distribution" sample data.
•The graph in the middle is a boxandwhiskers graph of the same data, showing the values lower than the 2.5th percentile and greater than the 97.5 th percentile as circles. Note that Prism offers several choices for how to define the whiskers in this kind of plot.
•The graph on the right is a violin plot, new with Prism 8. It shows the median and quartiles as the boxandwhisker plot does, but also shows a smoothed frequency distribution to give you a sense for how the data are distributed.
All three graphs were created by Prism directly from the column data table, with no analysis needed.
Prism can test for normality as part of the column statistics analysis. You don't have to create a frequency distribution, and then fit a Gaussian distribution.