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 2/8 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 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 THROW PERCEN TAGE

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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choices for the numebred blanks are 

1. falling or rising

2. falling or rising 

3. falling or rising 

4. at its maximum, when the avaerage total cost is at 0, or, at its minimum

 

pls also answer the rest of the questions and the graphs. 

thank you!!

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
30
20
10
1
2
3
GAME
You can think of the result in any one game as being Felix's marginal free-throw percentage. Based on your previous answer, you can deduce that
when Felix'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 total
cost curve, the average total cost must be 2
cost must be ▼. Therefore, the marginal cost curve intersects the average total cost curve
Also, when the marginal cost curve is above the average total cost curve, the average total
FREE-THROW PERCENTAGE
Transcribed Image Text: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 30 20 10 1 2 3 GAME You can think of the result in any one game as being Felix's marginal free-throw percentage. Based on your previous answer, you can deduce that when Felix'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 total cost curve, the average total cost must be 2 cost must be ▼. Therefore, the marginal cost curve intersects the average total cost curve Also, when the marginal cost curve is above the average total cost curve, the average total FREE-THROW PERCENTAGE
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
Transcribed Image Text: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
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