Some studies have shown that in the United States, men spend more than woman buying gifts and cards on Valentines Day. Suppose a researcher wants to test this hypothesis by randomly sampling men and woman with comparable demographic characteristics from various large cities across the United States to be in a study. Each study participant is asked to keep a log beginning 1 month before Valentines Day and record all purchases made for Valentines Day during that 1 month period. The resulting data are shown below. Use these data and a 1% level of significance to test to determine if, on average, men actually distributed in the population variances are equal. Make sure you clearly state both the null and the alternative hypotheses in full sentences. Include the output table; then, clearly state the conclusion in the same manner (do not simply say "accept/reject null" and explain how you arrived at this conclusion (based on which metrics) Men 107.48, 143.61, 90.19, 125.53, 70.79, 83, 129.63, 154.22, 93.80, 111.25, 78.6, 89.35 Woman 125.98, 59.32, 96.35, 80.62, 77.60, 84.34, 75.21, 68.48, 65.84, 126.11, 82.54, 123.50.