For the coupon comparison, the ANOVA output from Excel is shown below. At the 0.01 significance level, what is the conclusion and why? SUMMARY Groups Count Sum Average Variance Coupon A 18 1088.875 60.493 43.259 Coupon B 22 1301.354 59.152 87.879 Coupon C 22 1162.057 52.821 66.566 Coupon D 19 992.141 52.218 78.262 Control 19 1007.861 53.045 59.867 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 1219.256 4 304.814 4.479 0.002 2.467 Within Groups 6465.074 95 68.053 Total 7684.330 99 Question 5 options: Do not reject the null hypothesis, because the P-value is greater than the significance level. Do not reject the null hypothesis, because the F test statistic is greater the the F critical value. Reject the null hypothesis, because the F test statistic is greater than the P-value. Reject the null hypothesis, because the P-value is less than the significance level