Dear all, I am trying to perform a normality test on a series of datasets similar to the one shown in the figure attached, and later compare them using ANOVA. However, when I perform the normality test, I keep getting what I considered to be a ‘false negative.’ As you can see from the screenshot of the journal, the dataset as a whole resembles a normal distribution, even though there are only about 7-8 bins being populated. My best guess is that because there are ‘so many’ empty bins in between the populated ones, JMP is interpreting the dataset as multimodal. I would like it to perform the fit/test on the overall set as shown graphically. However JMP is interpreting the distribution of the data, it also affects the conclusions drawn from ANOVA. I would be very grateful if anyone could provide some insight as to how to perform the statistical analysis on these data (i.e. test each dataset for normality and then compare them using ANOVA). Thanks,
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