Use the Independent T-Test to assess whether the average 'Number of hours per day watching TV' [TVHours] is related to 'Class' in the population. Use Lower class (coded 1) and middle class (coded 3) for the grouping variable. Assume an alpha of .05 for a two-tail test. a) State a non-directional research hypothesis for this relationship. b) State the null hypothesis associated with the non-directional research hypothesis you identified in (a) c) Interpret the t-statistic and its associated p-value in relation to the null hypothesis you identified in (b). In the population, is there likely to be a relationship between people's class (lower class; middle class) and the average number of hours of TV they watch per day? Explain. Questions a) and b) will be along the lines as ________. the average of ___ is different than ____Or the average of ___ is the same as _____ Question c) format will be something along the lines as ________. The levines test for equality of variance cannot be assumed because the F statistic of __ is y/n significant. We will interpret the second row, equality of variance not assumed. The t is __, the df is __, p is ___. Report mean difference and 95