Answered: The price drivers pay for gasoline…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Work the problem on excel and give conclusions

$The table below presents the price per gallon for regular gasoline from a random sample of service stations across the upper Midwest region of the United States. The data, collected on March 18, 2012, shows the prices for three major gasoline brands: Shell, BP, and Marathon, across 11 metropolitan areas. | Metropolitan Area | Shell | BP | Marathon | |-----------------------|-------|------|----------| | Akron, OH | 3.77 | 3.83 | 3.78 | | Cincinnati, OH | 3.72 | 3.83 | 3.87 | | Cleveland, OH | 3.87 | 3.85 | 3.89 | | Columbus, OH | 3.83 | 3.77 | 3.82 | | Ft. Wayne, IN | 3.83 | 3.84 | 3.87 | | Indianapolis, IN | 3.85 | 3.84 | 3.89 | | Lansing, MI | 3.95 | 3.82 | 3.86 | | Lexington, KY | 3.79 | 3.78 | 3.79 | | Louisville, KY | 3.79 | 3.84 | 3.79 | | Muncie, IN | 3.81 | 3.84 | 3.87 | | Toledo, OH | 3.69 | 3.83 | 3.86 | **Instructions:** Use $\alpha = 0.05$ to test for any significant difference in the mean price of gasoline for the three brands. **Graph/Diagram Explanation:** There are no graphs or diagrams provided in the text. The focus is on the tabulated data showing gasoline prices by brand and location. To analyze these prices, statistical methods such as ANOVA could be used to test for significant differences across the brands.$

Transcribed Image Text:The table below presents the price per gallon for regular gasoline from a random sample of service stations across the upper Midwest region of the United States. The data, collected on March 18, 2012, shows the prices for three major gasoline brands: Shell, BP, and Marathon, across 11 metropolitan areas. | Metropolitan Area | Shell | BP | Marathon | |-----------------------|-------|------|----------| | Akron, OH | 3.77 | 3.83 | 3.78 | | Cincinnati, OH | 3.72 | 3.83 | 3.87 | | Cleveland, OH | 3.87 | 3.85 | 3.89 | | Columbus, OH | 3.83 | 3.77 | 3.82 | | Ft. Wayne, IN | 3.83 | 3.84 | 3.87 | | Indianapolis, IN | 3.85 | 3.84 | 3.89 | | Lansing, MI | 3.95 | 3.82 | 3.86 | | Lexington, KY | 3.79 | 3.78 | 3.79 | | Louisville, KY | 3.79 | 3.84 | 3.79 | | Muncie, IN | 3.81 | 3.84 | 3.87 | | Toledo, OH | 3.69 | 3.83 | 3.86 | **Instructions:** Use $\alpha = 0.05$ to test for any significant difference in the mean price of gasoline for the three brands. **Graph/Diagram Explanation:** There are no graphs or diagrams provided in the text. The focus is on the tabulated data showing gasoline prices by brand and location. To analyze these prices, statistical methods such as ANOVA could be used to test for significant differences across the brands.

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