Jointsoft is a great over-the-counter arthritis medication, but who will ever know about it? Unfortunately, many people with arthritis tend to be elderly and rather immobile, so advertisers of arthritis medications face limitations in ways to get their messages across. Currently, their best modes of advertisement are commerdals on daytime TV, advertisements in select magazines, fliers in convalescent homes, and advertisements on certain Web pages. Marketing managers for Jointsoft are investigating these four modes of advertisement in four small communities (with a different mode of advertisement in each community). The marketing managers have selected 34 days at random and are looking at the daily sales (in dollars) in each of the communities on each of these days. Here is what they have to work with. Groups Sample Sample Sample size mean variance TV 34 573.0 2926.5 Magazines 34 543.7 2421.5 Fliers 34 569.0 1982.2 Web pages 34 554.2 2667.0 Send data to calculator v Send data to Excel Suppose that the marketing managers perform a one-way, independent-samples ANOVA test to decide if there are differences inthe mean daily sales arising from the four modes of advertisement. (So, they're assuming that the only difference among the four communities is the mode of advertisement used in it.) Such a test uses the following statistic. F= Variation between the samples Variation within the samples For the information in the chart above, F ~ 2.49. (a) Give the numerator degrees of freedom of this F statistic. X 5 ? (b) Give the denominator degrees of freedom of this F statistic. (c) Using the 0.05 level of significance, can the marketing managers conclude that the mean daily Yes No one of the m