I \"q-\"- ... gun-r"- um\" n." yum.-.\" nu... There are many derivations and explanations of statistical power on the internet. For this project, please use the one we discussed in class, reproduced below. Be sure to define and justify the variables and their values and show your calculations. Power Analysis for T-test Data 2 + 2 N = W (needs correction for dropout rate) where: N = total number of subjects required E = expected effect size on the outcome variable S = largest standard deviation of outcome variable 2 = standard normal deviate to avoid error a = probability of Type 1 error: false positive P<.01 p are these two distributions statistically significantly different from each other probability of type error: false negative industry standards your company has developed a new hypodermic needle that is supposed to produce less pain than the standard needle. as an outcome measure you plan use visualanalog scale in which subject gives score after injection. according literature tends mean with deviation regulatory advisors say they can get fda accept claim reduced ifthe drops by one null at level. expect dropout rate patients enrolled study but who don show up for injection or report score. ceo wants keep trial small and inexpensive possible she willing chance missing positive because was too small. how many subjects should enroll suppose scores have larger reduction only unit on visual analog scale. will need demonstrate there least some significant>