Before and After Statistical Significance

#1
Hey,

I was wondering how to do before and after statistics to show significance in the aftermath of a process. The situation is that we are comparing peoples' pain levels before and after (which we have a method of determining a single number per patient).

For example, this is a hypothetical data situation that we could have:

..........................Before Therapy...............After Therapy
Patient One...............39.................................59
Patient Two...............23.................................38
Patient Three.............54.................................73
Patient Four...............32.................................63

Is there a way of showing statistical difference between the before and after therapy?

In the end, we want to have a way of easily showing that the patients' pain improved. Should we use a chi square test of significance, matched pairs test, or is there another test that you would suggest to show the differences?

Note: We have 30+ patients, we have the population mean (which is 50) and population standard deviation (which is 10).

Thanks
 

Dason

Ambassador to the humans
#3
I second the paired t-test recommendation. You basically just calculate the differences between before and after and do a one sample t-test on the differences. If you have other questions let us know but these seems like a textbook paired t-test example.