these commands in MTB show the effect of one outlier on the t test and the wilcoxon test. choose a sample size of n=20 from a normal(1,1) distr. test the hypothesis H0: mean=0 . with this data having mean=1, it should be rejected. ######################### random 20 c1 ; normal 1 1 . sort c1 c1 #order the data for later use # onet c1 ; test 0 . Wtest 0 c1 ; alternative 0 . # let k1 = c1(20) print k1 let c1(20) = c1(20) + 3 #make the largest obs larger (outlier) # # now repeat the last 5 command lines to do the tests again # copy-paste the commands to do it # repeat the tests, maybe 5 to 10 times # make a table of your results giving: value of c1(20) and the 2 pvalues