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Published on Mar 1, 2012
I introduce how to do a 2 sample mean t test comparing 2 means in statistics. I cover the goals of the comparison, the required conditions that need to be checked, robustness, how to combine means and variance, and give the formulas for z-test...t-test...and confidence intervals. I finish with a few examples. EXAMPLE begins at 22:48 I have added some annotations to refine the wording of my example: DEFINING THE VARIABLES Mu 1: Population mean improvement of test scores for traditional teaching. Mu 2: Population mean improvement of test scores for teaching that incorporates technology. NORMALITY CHECK Normality: With N1+N2=20 which is between 15 and 30, the Central Limit Theorem ensures the sampling distribution of difference of means is approximately Normal since the box plots only show mild skewness.