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.

Check out http://www.ProfRobBob.com, there you will find my lessons organized by class/subject and then by topics within each class. Find free review test, useful notes and more at http://www.mathplane.com

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