Emma's On-the-Go, a large convenience store, has to decide where in the store to put its candy bar display rack. The manager at Emma's experiments with a selection of different locations, choosing a sample of days at each location. Each day, the manager records the amount of money brought in from the sale of candy bars. It's possible to test whether there is a difference in the mean daily sales for the different locations by doing a one-way, independent-samples ANOVA test. The variable of interest is the daily sales, in dollars, from candy bars at Emma's. In the ANOVA test, the "groups" are the different locations, and the "samples" are the daily candy bar sales actually examined by the manager. 122 (a) The following ANOVA table gives a summary of such an ANOVA test. Fill in the missing cell in the table (rounded to two decimal places). Degrees of freedom Sum of squares Mean square F statistic X $ ? 3 2346.59 782.2 0 Source of variation. Treatments (between groups) Error (within groups) 184 111,780 607.5 Total 187 114,126.59 (b) How many locations were looked at by the manager? 0 X 5 ? (c) For the ANOVA test, it is assumed that the variance is the same for each population of daily sales (that is, for the populations of daily sales for each location). What is an unbiased estimate of this common population variance based on the sample variances? 0 X S ? (d) What is the p-value corresponding to the F statistic for the ANOVA test? Round your answer to at least three decimal places. 0 X 5 ? (e) Can we conclude, using the 0.01 level of significance, that there is a difference in the mean daily sales among the different locations? Yes No X ? S Explanation. Check FB 90 A V 2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility
Emma's On-the-Go, a large convenience store, has to decide where in the store to put its candy bar display rack. The manager at Emma's experiments with a selection of different locations, choosing a sample of days at each location. Each day, the manager records the amount of money brought in from the sale of candy bars. It's possible to test whether there is a difference in the mean daily sales for the different locations by doing a one-way, independent-samples ANOVA test. The variable of interest is the daily sales, in dollars, from candy bars at Emma's. In the ANOVA test, the "groups" are the different locations, and the "samples" are the daily candy bar sales actually examined by the manager. 122 (a) The following ANOVA table gives a summary of such an ANOVA test. Fill in the missing cell in the table (rounded to two decimal places). Degrees of freedom Sum of squares Mean square F statistic X $ ? 3 2346.59 782.2 0 Source of variation. Treatments (between groups) Error (within groups) 184 111,780 607.5 Total 187 114,126.59 (b) How many locations were looked at by the manager? 0 X 5 ? (c) For the ANOVA test, it is assumed that the variance is the same for each population of daily sales (that is, for the populations of daily sales for each location). What is an unbiased estimate of this common population variance based on the sample variances? 0 X S ? (d) What is the p-value corresponding to the F statistic for the ANOVA test? Round your answer to at least three decimal places. 0 X 5 ? (e) Can we conclude, using the 0.01 level of significance, that there is a difference in the mean daily sales among the different locations? Yes No X ? S Explanation. Check FB 90 A V 2022 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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