Simply you need a better fit of your experimental data to the theory or model-generated data. If you can't do this then the experiment is at fault in one way or another or the theory is wrong for your hypothesis. If you get perfect fit, this is also an indicator that the experiment is rigged (you can never expect this in practice so that the chi-squared value can never be zero).
Thank you Sir for your response. I have added my Data file and pcr file. I have done all steps without violating theories. But it did not give me a good chi^2. I think i have missed something.
I use PCW and it works great. I usually enlarge each peak separately and then mark three points; one at the top of the peak, another one on its base and the last one on the peak's center. Enlarging each peak should do the work. If you have a few peaks having the same basis you should mark one point in the beginning of the mutual basis another one at the end of the mutual basis and then additional points in the middle of each peak.