![]() Mu_is_Zero: 'mu_is_Zero: mean=0.00, std=1.00, 3 points counted in the. Jonathan's nhist lets you compare the histograms of the data sets easily. You can also use boxplot, also from Statistics and Machine Learning Toobox, to create a box and whisker plot that lets you visualize statistical information. Legend(fieldnames(A), 'interpreter', 'none') A.mu_is_Zero = randn(10^5,1) % mean of 0Ī.mu_is_Two = randn(10^5,1)+2 % mean of 2 % This assumes you know the distributionĭist1 = fitdist(A.mu_is_Zero, 'Normal') % fit to a normal distributionĭist2 = fitdist(A.mu_is_Two, 'Normal') % fit to a normal distribution ![]() One is to fit each data set to a particular distribution using the function fistdist from the Statistics and Machine Learning Toolbox. One of the things you may want to do when analyzing two sets of data is comparing their distributions. Jiro's pick this week is "Comparing Multiple Histograms" by Jonathan C.
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