Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically.(?)FREE-THROW PERCENTAGE1009080703020100012GAME35Game Free-Throw PercentageAverage Free-Throw PercentageYou can think of the result in any one game as being Sam's marginal free-throw percentage. Based on your previous answer, you can deduce thatwhen Sam's marginal free-throw percentage is above the average, the average must beYou can now apply this analysis to production costs. For a U-shaped average total cost curve, when the marginal cost curve is below the average totalcost curve, the average total cost must beAlso, when the marginal cost curve is above the average total cost curve, the average totalcost must be. Therefore, the marginal cost curve intersects the average total cost curve Consider the following scenario to understand the relationship between marginal and average values. Suppose Sam is a professional basketball player,and his game log for free throws can be summarized in the following table.Fill in the columns with Sam's free-throw percentage for each game and his overall free-throw average after each game.Game Result Total Game Free-Throw Percentage Average Free-Throw PercentageGame18/108012/2014/2816/3222/4023458/104/102/82/46/880On the following graph, use the orange points (square symbol) to plot Sam's free-throw percentage for each game individually, and use the greenpoints (triangle symbol) to plot his overall average free-throw percentage after each game.Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically.

Average total cost is the per unit average cost of production. It is determined by dividing the…

Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically. (?) FREE-THROW PERCENTAGE 100 90 80 70 60 50 40 30 20 10 0 0 2 GAME 3 5 -O- Game Free-Throw Percentage Average Free-Throw Percentage You can think of the result in any one game as being Sam's marginal free-throw percentage. Based on your previous answer, you can deduce that when Sam's marginal free-throw percentage is above the average, the average must be You can now apply this analysis to production costs. For a U-shaped average total cost curve, when the marginal cost curve is below the average tota cost curve, the average total cost must be . Also, when the marginal cost curve is above the average total cost curve, the average total ▼. Therefore, the marginal cost curve intersects the average total cost curve cost must be

Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically. (?) FREE-THROW PERCENTAGE 100 90 80 70 60 50 40 30 20 10 0 0 2 GAME 3 5 -O- Game Free-Throw Percentage Average Free-Throw Percentage You can think of the result in any one game as being Sam's marginal free-throw percentage. Based on your previous answer, you can deduce that when Sam's marginal free-throw percentage is above the average, the average must be You can now apply this analysis to production costs. For a U-shaped average total cost curve, when the marginal cost curve is below the average tota cost curve, the average total cost must be . Also, when the marginal cost curve is above the average total cost curve, the average total ▼. Therefore, the marginal cost curve intersects the average total cost curve cost must be

Microeconomics: Private and Public Choice (MindTap Course List)

16th Edition

ISBN:9781305506893

Author:James D. Gwartney, Richard L. Stroup, Russell S. Sobel, David A. Macpherson

Publisher:James D. Gwartney, Richard L. Stroup, Russell S. Sobel, David A. Macpherson

Chapter2: Some Tools Of The Economist

Section: Chapter Questions

Problem 2CQ

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Consider the following scenario to understand the relationship between marginal and average values. Suppose Jake is a professional basketball player, and his game log for free throws can be summarized in the following table. Fill in the columns with Jake's free-throw percentage for each game and his overall free-throw average after each game. Game Game Result Total Game Free-Throw Percentage Average Free-Throw Percentage 8/10 8/10 80 80 4/10 12/20 2/8 14/28 4 2/4 16/32 6/8 22/40
Consider the following scenario to understand the relationship between marginal and average values. Suppose Shen is a professional basketball player, and his game log for free throws can be summarized in the following table. Fill in the columns with Shen's free-throw percentage for each game and his overall free-throw average after each game. Game Game Result Total Game Free-Throw Percentage Average Free-Throw Percentage 1 8/10 8/10 80 80 6/10 14/20 3 1/5 15/25 4 3/5 18/30 8/10 26/40 On the following graph, use the orange points (square symbol) to plot Shen's free-throw percentage for each game individually, and use the green points (triangle symbol) to plot his overall average free-throw percentage after each game. Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically. 100 90 Game Free-Throw Percentage 80 70 Average Free-Throw Percentage RCENTAGE
The following scenario examines the relationship between marginal and average values. Suppose Parker is a high school basketball player. The following table presents their game-by-game results for foul shots. Fill in the columns with Parker's foul-shooting percentage for each game and their overall foul-shooting average after each game. Game Game Result Total Game Foul-Shooting Percentage Average Foul-Shooting Percentage 1 4/5 80 2 3 4 5 FREE-THROW PERCENTAGE 100 On the following graph, use the orange points (square symbol) to plot Parker's foul-shooting percentage for each game individually, and use the green points (triangle symbol) to plot Parker's overall average foul-shooting percentage after each game. Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically. 90 80 70 60 50 40 30 20 10 0 4/5 2/5 1/4 1/2 4/4 0 6/10 7/14 8/16 12/20 1 2 GAME 0000 3 5 Game Foul-Shooting Percentage Average Foul-Shooting Percentage…
Consider the following scenario to understand the relationship between marginal and average values. Suppose Hilary is a professional basketball player, and her game log for free throws can be summarized in the following table. Fill in the columns with Hilary's free-throw percentage for each game and her overall free-throw average after each game. Game Game Result Total Game Free-Throw Percentage Average Free-Throw Percentage 1 8/10 8/10 80 80 6/10 14/20 1/5 15/25 3/5 18/30 8/10 26/40 On the following graph, use the orange points (square symbol) to plot Hilary's free-throw percentage for each game individually, and use the green points (triangle symbol) to plot her overall average free-throw percentage after each game. Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically. M m 4 5
Fill in the columns with Bob's free-throw percentage for each game and his overall free-throw average after each game. Game Result Total Game Free-Throw Percentage Average Free-Throw Percentage 80 8/10 12/20 Game 1 2 3 st 4 5 8/10 4/10 2/8 2/4 6/8 14/28 16/32 22/40 80
3. The relationship between marginal and average costs Consider the following scenario to understand the relationship between marginal and average values. Suppose Bob is a professional basketball player, and his game log for free throws can be summarized in the following table. Fill in the columns with Bob's free-throw percentage for each game and his overall free-throw average after each game. Game Game Result Total Game Free-Throw Percentage Average Free-Throw Percentage 1 4/5 4/5 80 80 2. 2/5 6/10 1/4 7/14 4 1/2 8/16 5 4/4 12/20 On the following graph, use the orange points (square symbol) to plot Bob's free-throw percentage for each game individually, and use the green points (triangle symbol) to plot his overall average free-throw percentage after each game. Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically. 100 90 Game Free-Throw Percentage 80 70 NTAGE
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Consider the following scenario to understand the relationship between marginal and average values. Suppose Brian is a professional basketball player, and his game log for free throws can be summarized in the following table. Fill in the columns with Brian's free-throw percentage for each game and his overall free-throw average after each game. Game Game Result Total Game Free-Throw Percentage Average Free-Throw Percentage 1 4/5 4/5 80 80 2/5 6/10 1/4 7/14 1/2 8/16 4/4 12/20 On the following graph, use the orange points (square symbol) to plot Brian's free-throw percentage for each game individually, and use the green points (triangle symbol) to plot his overall average free-throw percentage after each game. Note: Plot your points in the order in which you would like them connected. Line segments will connect the points automatically. 100 90 Game Free-Throw Percentage 80 70 60 Average Free-Throw Percentage PERCENTAGE
when selecting the lineup for relays, teams start with the slowest runner and finishwith the fastest. In Beijing 2008, Jamaica were the hot favorites to win the 4 X 100 since theUK and USA were disqualified in the semis. Moreover, Usain Bolt came into the lineup. Thisleft the Jamaicans to make a key decision: Which position should they run Bolt? Look at thesplits both Bolt and Asafa Powell had and mention which position each runner should havecome in in race time.
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