Hello, I have a weekly product sale in EQ in time series data(total 88 weeks) with mean=15,000 and standard deviation=2,500.   I’m working on producing a matrix of confidence intervals and “power” analysis to determine what % lift (e.g. 5% or 6%) of sale do I need to observe to be confident the lift is statistically significant between the two test/control market pairs I identified.    The goal is to have a X%(e.g. 95%) power chance of obtaining a Y%(e.g. 90%) confidence interval whose half-width is at most from Z%(5% or 6%) lift of eq sales for next 26 weeks.   I need to complete this matrix below that will look something like this: I've tried to use the code below but don't know how to set up the parameters in "proc power".   Can someone shed some lights here?    Thanks so much for your help in advance.         I  ODS Output PlotContent = want; proc power; onesamplemeans ci=t SIDES=2 alpha = 0.05 ,0.1 halfwidth = 750 to 1500 by 150 stddev = 2500 probwidth =. ntotal = 8; plot x=effect min=500 max=3000 XOPTS=( REF=1500 2000 2200 2500 CROSSREF=YES); run;   ... View more