Only I had to turn off Y-scale scale ticks since it is displayed as linear and only confuse. While I generate Y pair data set, I use mentioned Y graph template.įor instance, template has fixed 1000 samples, and my specific X data set (Track) has 300 samples, I generate 300 samples using "interpolate 1D array" and excavate data from template to generate my desired 300 samples. Since that I have for X scale input up to 4 data sets (Track 1 / 2 / 3 / 4), and each of this data sets have not specified sample size, it can be for instance in range 100 - 1000 per track, for each X data set I generate Y scale pair of same sample size. So at the end for Y graph I used template which I generated with help of Minitab/Excel after some time of playing I produce template of 1000 samples which I stored in LV in a form of one array (Y graph template).
#PROBABILITY PLOT MINITAB GENERATOR#
Second is that this generator creates distribution pretty far away from ideal normal distribution, it generates some pseudo random pattern which is maybe good to simulate some realistic situation but when I check histogram of of that generated samples, distribution is pretty deformed from typical ideal Gauss shape, with some spikes, which at the end resulted with additional weird deformation on my X-Y plot. In previous tests I used Gauss White noisy to generate distribution for Y graph (as i seen on several examples in internet), and there were 2 problems.įirst one is that this is normal distribution which does not fit for me since I want this double logarithmic thing on Y scale or whatever name is. Thanks for advise, at the end I do it in that way, and now result is very similar to Minitab graph, example with 4 data sets at the end. It is particularly suitable when the sample size is at least 10 per. These four Residual plots provide four different ways to look at the residuals, in order to help you decide if they are Normally distributed and random. Minitab is a statistics software, so maybe the Y axis is a bell curve on its side, with a custom scale to straighten out the curve? The interval plot is used to assess and compare confidence intervals of the means of groups. Using Minitab for the ‘Analysis of Residuals’: When completing a regression analysis, Minitab can provide four different Residuals plots, in one Minitab graph.
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