
#1
Oct1108, 07:20 AM

P: 91

1. The problem statement, all variables and given/known data
Given: clear n = 100; x = 1:n; err = randn(1,n); mean(err); std(err); y = x + err; cftool Q  Relate your fitted to the data in y to the mean, S and SE values. You should also compare the fit results to the 95% point on the curve of the integral of the normal distribution. 2. The attempt at a solution I did the following: Mean = mean(y) Standard_Deviation = std(y) Standard_Error = ((Standard_Deviation).^2)./sqrt(100) But in all honestly dont know what I have to do. I mean how do I relate the data? I think the problem here is that I do not understand the question. Thanks 



#2
Oct1108, 04:50 PM

P: 91

hey does anyone have any ideas for this? i am still stuck... thanks



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