Hi Jessica, Functions like normplot and probplot allow you to mark the probability distribution of your data with respect to a specified distribution like Normal or Rayleigh etc.
Confidence Interval is something that they do not evaluate so they do not include an option explicitly for them. You will have to specify the confidence interval values of the parameters of your distribution and then you can plot them. I think the below program will help :-
clc;
clear all;
a= random('normal',10,4,1,100); % Generate a normally distributed random numbers
pd = fitdist(a','normal'); % Creates a ProbDistUnivParam object by fitting the data to a normal distribution. For details look at Documentation
ci = paramci(pd); % This function calculates the values of the parameters based on a certain confidence interval. Here the by default the confidence interval is 95 percent
probplot(a);
h=probplot(gca,@(a,x,y)normcdf(a,x,y),[ci(1,1),ci(1,2)]);
set(h,'color','r','linestyle','-')
t= probplot(gca,@(a,x,y)normcdf(a,x,y),[ci(2,1),ci(2,2)]);
set(t,'color','g','linestyle','-.')
For further help reply back or mail. I hope it will help you.
HAPPY TO HELP
UJJWAL
