(a) The v ts of the ANOVA test are summarized in the ANOVA table below. Fill in the missing value in the ANOVA table. (round your answer to at least two deciidi places) Source of Degrees of Sum of Mean square F statistic variation freedom squares Treatments (between groups) 3 18,948.84 6316.28 Error (within groups) 188 452,187 2405.25 Total 191 471,135.84 (b) How many modes of advertisement were studied? (c) For the ANOVA test, it is assumed that the population variances of daily sales are equal for each mode of advertisement studied. What is an unbiased estimate of this common population variance based on the sample variances? (d) What is the p-value corresponding to the F statistic for the ANOVA test? Round your answer to at least three decimal places. (e) Using the 0.01 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?
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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. Marketing managers for Jointsoft are investigating several modes of advertisement in several small communities (with a different
Suppose that the marketing managers perform a one-way, independent-samples ANOVA test to decide if there are differences in the
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