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 commercials on daytime TV, advertisements in select magazines, fliers in convalescent homes, and (believe it or not) 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 35 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. Sample Sample Sample size Groups variance mean 35 555.5 2150.3 TV Magazines 35 540.9 2905.0 Fliers 35 554.3 2005.5 Web pages 35 568.4 2968.1 The marketing managers are assuming that the only difference among the communities is the mode of advertisement used. The marketing managers perform a one-way, independent-samples ANOVA test to decide if there are significant differences in the mean daily sales arising from the different modes of advertisement (the "groups"). (a) The results of the ANOVA test are summarized in the partially filled ANOV table below. Fill in the rest of the ANOVA table. (In the table, round your answers for the mean squares to at least one decimal place each, and round your answer for the F statistic to at least two decimal places.) Degrees of freedom Source of Sum of Mean square F statistic variation squares Between 1.762 13.261.76 groups Error (within 136 340.982.6 Tekscgi/ pyu? TOBV pavbSPA O CHI-SQUARE TESTS, INFERENCES FOR REGRESSION, AND ANOVA Emmanuel ANOVA: Hypothesis tests and the ANOVA table The marketing managers are assuming that the only difference among the communities is the mode of advertisement used. The marketing managers perform a one-way, independent-samples ANOVA test to decide if there are significant differences in the mean daily sales arising from the different modes of advertisement (the "groups"). (a) The results of the ANOVA test are summarized in the partially filled ANOVA table below. Fill in the rest of the ANOVA table. (In the table, round your answers for the mean squares to at least one decimal place each, and round your answer for the F statistic to at least two decimal places.) Source of Degrees of Sum of Mean square F statistic Aa variation freedom squares Between 13,261.76 1.762 groups Error (within 136 340,982.6 groups) Total 139 354.244.36 (b) Using the 0.05 level of significance, what is the critical value of the F statistic for the ANOVA test? Round your answer to at least two decimal places. 0.16 (c) Using the 0.05 level of significance, can the marketing managers conclude that the mean daily sales arising from at least one of the modes of advertisement differs from that of the others? OYes No Explanation Check 2020 McGraw-Hill Education, Al Rights Reserved, Terms of Use | Privacy Accessibility Type here to search.