Statistics

One thing I remember from Statistics was two different tests for determining if the error in our data was significantly different of if the difference was due to random chance. The two tests I remembered where the z test and Chi squared the latter of which I have  seen used in many of my classes this semester. I also remember that  tested for statistical significance for the hypothesis of the experiment was the main goal, not necessarily to say this is 100% true. In General as a rule of thumb the number usually used for if we could confirm our hypothesis was statistically confirmed was 95%. For most of our tests we were looking for a P value of less than 5% to confirm that our data was significant. Some terms  I remember from this this class was H0 was used for the null hypothesis, Mu was used for the mean population, and Ha was used for an alternative hypothesis.