2. 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)

(Questions a) and b) will be along the lines of: the average of ___ is different than ____

Or the average of ___ is the same as _____)

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.

(Question c) format will be something along the lines of: 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% confidence interval. Reject or fail to reject null. Explain relevance)