data set first number is with program second is without

Customer Traffic

With Program Without Program

136 140

228 233

11 110

38 42

332 332

132 135

150 151

35 33

189 178

141 147

175 162

253 243

144 149

49 48

356 346

0 Log ln|UMUC (-90 i7 Slatis x + u:383894&i5prv:&drc:1&qi:984465&ch|:0&dnb:0 increases customer traffic enough to support the cost of the program. For each of 15 stores, one day is selected at random to record customer traffic with the program in effect, and one day is selected at random to record customer traffic with program not in effect. The results of the experiment are documented in DATA. For each store, compute difference = traffic with program minus traffic without program. At or = 0.05, test the hypothesis that the mean difference is at most 0 (at best the program makes no difference, or worse it decreases traffic) against the alternative that the mean difference > O (the program increases traffic). 0 The pvalue of 0.033 provides strong evidence against H0. H0 is rejected at or = 0.05. You decide to recommend further evaluation of the program. 0 The pvalue of 0.084 provides weak evidence against H0. H0 is not rejected at (x = 0.05. You decide the evidence is not strong enough to recommend further evaluation of the program. 0 The pvalue of 0.221 indicates that the data provide insignificant evidence against H0. H0 is not rejected at (x = 0.05. You decide to conclude the study and not to recommend the program. 0 None of the answers are correct. 0 The pvalue rejects H0: Mean difference > 0. O The pvalue of 0.002 provides overwhelming evidence against HO. H0 is rejected . M u . . |