PSY 320 Lecture Notes - Lecture 2: Type I And Type Ii Errors, Standard Deviation, Sample Size Determination
Document Summary
Line of best fit - line that best captures that the patterns the points are best creating. Hypothesis testing - try and figure out if what we are doing is better than chance or if chance is what is happening. Type ii error (beta) - new procedure does work, but falsely conclude that it does not. Type i error (alpha) - new procedure does not work, but falsely conclude that it does. Goal is for the power to be 0. 8. If we do 100 studies, 80 would come to the right decision. Parameter (greek symbols) - properties of the population. Mean (average) sigma - standard deviation (spread around the center) X bar = mean s = standard deviation. Sample size (n) - size of the sample drawn from a population. Sampling distribution - distribution of sample statistics from a large number of samples. Standard error (se) - degree of error expected in our sample.
