A group of 115 University of Iowa students was randomly divided into a build-up condition group (m = 56) and a scale down condition group (n = 59). The task for each subject was to build his or her own pizza from a menu of 12 ingredients. The build-up group was told that a basic cheese pizza costs $5 and that each extra ingredient would cost 50 cents. The scale-down group was told that a pizza with all 12 ingredients (ugh!!!) would cost $11 and that deleting an ingredient would save 50 cents. The article “A Tale of Two Pizzas: Building Up from a Basic Product Versus Scaling Down from a Fully Loaded Product” (Market. Lett. 2002: 335–344) reported that the mean number of ingredients selected by the scale-down group was significantly greater than the mean number for the build-up group: 5.29 versus 2.71. The calculated value of the appropriate t statistic was 6.07. Would you reject the null hypothesis of equality in favor of inequality at a significance level of .05? .01? .001? Can you think of other products aside from pizza where one could build up or scale down?