I am a biologist looking for guidance regarding which statistical test to use when comparing variances in data.
I am comparing two theoretical distributions to the experimental data. The data in the distributions may not be normally distributed and there may not be an equal number data points. An example of my data is shown below:
So what I have done so for is to normalise the data on similar y-axis scales. I did this by taking the mean of each of the three distributions and plotting their difference from the mean. The distribution of the data is shown below:
The y-axis is the difference from the mean and the x-axis the type of data.
Using the normalised distribution I have been using F-Tests in R (with command
var.test()) to statistically analyse the variance in the data. But the F-Tests assumes a normal distribution.
Is the F-Test the correct test to use in this case? If not can anyone suggest a more appropriate test?