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    %% Change Parameter Confidence Intervals  

%% 
% Load the sample data. Create a vector containing the first column of students’
% exam grade data. 
load examgrades
x = grades(:,1);  

%% 
% Fit a normal distribution object to the data. 
pd = fitdist(x,'Normal')  

%% 
% Compute the 99% confidence interval for the distribution parameters. 
ci = paramci(pd,'Alpha',.01) 

%%
% Column 1 of |ci| contains the lower and upper 99% confidence interval
% boundaries for the mu parameter, and column 2 contains the boundaries
% for the sigma parameter.