(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). Source of Degrees of Sum of Mean square F statistic variation freedom squares Treatments 5 7419.81 1483.96 (between groups) Error (within 276 108,799.2 394.2 groups) Total 281 116,219.01 (b) How many locations were looked at by the manager? ? (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? ? (d) What is the p-value corresponding to the F statistic for the ANOVA test? Round your answer to at least three decimal places.

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### ANOVA Test for Magazine Sales at Emma's On-the-Go

Emma’s On-the-Go, a large convenience store, is deciding on the optimal location within the store for its magazine rack. The manager tests different store locations by recording daily magazine sales in dollars over several days at each location. The aim is to determine if there is a significant difference in sales between the locations using a one-way, independent-samples ANOVA test.

#### ANOVA Table

The table below summarizes the ANOVA test results. You are required to fill in the missing values.

| Source of Variation          | Degrees of Freedom | Sum of Squares | Mean Square   | F Statistic |
|------------------------------|--------------------|----------------|---------------|-------------|
| Treatments (between groups)  | 5                  | 7419.81        | 1483.96       | ?           |
| Error (within groups)        | 276                | 108,799.2      | 394.2         |             |
| Total                        | 281                | 116,219.01     |               |             |

#### Questions

**(a)** Fill in the missing F statistic in the table (rounded to two decimal places).

**(b)** How many locations were looked at by the manager?
- Answer here: [ ]

**(c)** For the ANOVA test, it is assumed that the variance is the same for each population of daily sales. What is an unbiased estimate of this common population variance based on the sample variances?
- Answer here: [ ]

**(d)** What is the p-value corresponding to the F statistic for the ANOVA test? Round your answer to at least three decimal places.
- Answer here: [ ]

**(e)** Can we conclude, using the 0.05 level of significance, that there is a difference in the mean daily sales among the different locations?
- Circle one: Yes / No

#### Steps for Solving

- **F Statistic Calculation:** The F statistic is found by dividing the mean square between groups by the mean square within groups.
- **Degrees of Freedom Explanation:** The degrees of freedom for treatments is the number of groups minus one. The degrees of freedom for error is the total number of observations minus the number of groups.
- **Common Variance Estimate:** This is often the mean of the variances within the groups.
- **p-Value Interpretation:** The p-value indicates the probability that the observed data would
Transcribed Image Text:### ANOVA Test for Magazine Sales at Emma's On-the-Go Emma’s On-the-Go, a large convenience store, is deciding on the optimal location within the store for its magazine rack. The manager tests different store locations by recording daily magazine sales in dollars over several days at each location. The aim is to determine if there is a significant difference in sales between the locations using a one-way, independent-samples ANOVA test. #### ANOVA Table The table below summarizes the ANOVA test results. You are required to fill in the missing values. | Source of Variation | Degrees of Freedom | Sum of Squares | Mean Square | F Statistic | |------------------------------|--------------------|----------------|---------------|-------------| | Treatments (between groups) | 5 | 7419.81 | 1483.96 | ? | | Error (within groups) | 276 | 108,799.2 | 394.2 | | | Total | 281 | 116,219.01 | | | #### Questions **(a)** Fill in the missing F statistic in the table (rounded to two decimal places). **(b)** How many locations were looked at by the manager? - Answer here: [ ] **(c)** For the ANOVA test, it is assumed that the variance is the same for each population of daily sales. What is an unbiased estimate of this common population variance based on the sample variances? - Answer here: [ ] **(d)** What is the p-value corresponding to the F statistic for the ANOVA test? Round your answer to at least three decimal places. - Answer here: [ ] **(e)** Can we conclude, using the 0.05 level of significance, that there is a difference in the mean daily sales among the different locations? - Circle one: Yes / No #### Steps for Solving - **F Statistic Calculation:** The F statistic is found by dividing the mean square between groups by the mean square within groups. - **Degrees of Freedom Explanation:** The degrees of freedom for treatments is the number of groups minus one. The degrees of freedom for error is the total number of observations minus the number of groups. - **Common Variance Estimate:** This is often the mean of the variances within the groups. - **p-Value Interpretation:** The p-value indicates the probability that the observed data would
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