The following scenario examines the relationship between marginal and average values. Suppose Tyler is a high school basketball player. The following table presents their game-by-game results for foul shots. Fill in the columns with Tyler's foul-shooting percentage for each game and their overall foul-shooting average after each game. Game Game Result Total Game Foul-Shooting Percentage 1 6/8 6/8 75 2 2/8 8/16 3 2/4 10/20 4 8/10 18/30 5 8/10 26/40 75 Average Foul-Shooting Percentage 75 On the following graph, use the orange points (square symbol) to plot Tyler's foul-shooting percentage for each game individually, and use the green points (triangle symbol) to plot Tyler'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.

The following scenario examines the relationship between marginal and average values. Suppose Tyler is a high school basketball player. The following table presents their game-by-game results for foul shots. Fill in the columns with Tyler's foul-shooting percentage for each game and their overall foul-shooting average after each game. Game Game Result Total Game Foul-Shooting Percentage 1 6/8 6/8 75 2 2/8 8/16 3 2/4 10/20 4 8/10 18/30 5 8/10 26/40 75 Average Foul-Shooting Percentage 75 On the following graph, use the orange points (square symbol) to plot Tyler's foul-shooting percentage for each game individually, and use the green points (triangle symbol) to plot Tyler'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.

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

Chapter1: The Economic Approach

Section: Chapter Questions

Problem 10CQ

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Attempts 3. The relationship between marginal and average costs Consider the following scenario to understand the relationship between marginal and average values. Suppose Paolo is a professional basketball player, and his game log for free throws can be summarized in the following table. Fill in the columns with Paolo's free-throw percentage for each game and his overall free-throw average after each game. Game 1 2 3 Average / 4 4 LO 5 Game Result Total Game Free-Throw Percentage Average Free-Throw Percentage 8/10 8/10 80 6/10 14/20 T 1/5 15/25 3/5 18/30 8/10 26/40 80
3. The relationship between marginal and average costs Consider the following scenario to understand the relationship between marginal and average values. Suppose Caroline is a professional basketball player, and her game log for free throws can be summarized in the following table. Fill in the columns with Caroline'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 6/8 6/8 75 75 2 2/8 8/16 3 2/4 10/20 4 8/10 18/30 5 8/10 26/40 On the following graph, use the orange points (square symbol) to plot Caroline'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. 100 90 80 Game Free-Throw Percentage 70 60 Average Free-Throw Percentage…
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 Percentage Game 1 8/10 80 12/20 14/28 16/32 22/40 2 3 4 5 8/10 4/10 2/8 2/4 6/8 80 On the following graph, use the orange points (square symbol) to plot Sam'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.
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Topic B Problem: Imagine you have two competing athletes who have the option to use an illegal and/or dangerous drug to enhance their performance (i.e., dope). If neither athlete dopes, then neither gains an advantage. If only one dopes, then that athlete gains a massive advantage over their competitor, reduced by the medical and legal risks of doping. However, if both athletes dope, the advantages cancel out, and only the risks remain, putting them both in a worse position than if neither had been doping. What class concept best describes this situation? Using this class concept, what outcome do we expect from these two athletes? Are there any factors that could change the outcome predicted by this course concept?
Consider the following scenario to understand the relationship between marginal and average values. Suppose Felix is a professional basketball player, and his game log for free throws can be summarized in the following table. Fill in the columns with Felix'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 6/8 6/8 75 75 2 2/8 8/16 3 2/4 10/20 8/10 18/30 5 8/10 26/40 On the following graph, use the orange points (square symbol) to plot Felix'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 50 40 E-THROW PERCENTAGE
64. (This problem assumes knowledge of the basic rulesof baseball.) George Lindsey (1959) looked at boxscores of more than 1000 baseball games and foundthe expected number of runs scored in an inning foreach on-base and out situation to be as listed in the fileP09_64.xlsx. For example, if a team has a man on firstbase with one out, it scores 0.5 run on average untilthe end of the inning. You can assume throughout thisproblem that the team batting wants to maximize theexpected number of runs scored in the inning.a. Use this data to explain why, in most cases,bunting with a man on first base and no outs isa bad decision. In what situation might buntingwith a man on first base and no outs be a gooddecision?b. Assume there is a man on first base with one out.What probability of stealing second makes an attempted steal a good idea?
Hello, can you answer questions 2 and 4 here?
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 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
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
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