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checking this code I was wondering , If I have defined my lognormal plot already, then how would I draw the normal probability plot for my lognormal data ? should the x be defined the same way in the mentioned code ?

This is my data = [336256, 620316, 958846, 1007830, 1080401]

This is where I plot my Weibul and lognormal : code

In my code, this is what I get for Lognormal normal probability plot

lognormal

and what I get for Weibull normal probability plot :

Weibul

The problem with these curves is that they are too Linear !!

The are supposed to be this way : The other difference is that I need to place my points between 0 and 100 and they should not be equally spaced logweib

also I am not sure at which confidence interval I am working in my own code.

Update 1 :

Using the code here

I get these results :

Lognormal

for weibull

weibull

FabioSpaghetti
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  • Your question does not seem to be about programming, you might have a better chance at [CrossValidated](https://stats.stackexchange.com/). – rozsasarpi Aug 03 '18 at 18:28
  • I have already done that, they told me exactly the same thing and proposed stackoverflow.com, anyways I think it suits both, depends who has worked both – FabioSpaghetti Aug 03 '18 at 18:30
  • Ok, for me your question is not fully clear, e.g. what do you mean by this: "Weibull normal probability plot", I think something is missing or messed up here. Your data is only 5 values yet you have a lot of dots on your plots. How come? – rozsasarpi Aug 03 '18 at 18:41
  • Ok, let go of the first couple of images, the second couple is what I should replicate, those are done in mini tab, what is done is basically you calculate a weibull and lognormal distribution and to see which one is fit better, a normal plot is calculated. I tried to do the same, but for x axis I produced 10, 000 points – FabioSpaghetti Aug 03 '18 at 18:45

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