Population Size 50 100 150 200 250 300 ° 1. Use the info below to answer the following: How did the level of precision of field estimates of parameters influence your confidence in the output from population models for guiding harvest? Did you identify a needed level of precision that you would be comfortable with if you were managing this population? Support your answer with data and images from your R session. The following codes were run to make graphs to look at the impact of imprecision in our estimates of the field data. In this command, the values in parentheses represent the starting population size (should be≤500), the desired harvest number, and the percent precision in population size and harvest, respectively. The code was run 3 extra times without changing the values in parentheses. This will illustrate the role of stochasticity in the system. The graph changed each time. stoch(250,62.5,10,10) 1st Run 2nd run Population Size 50 100 150 200 250 300 ° 0 - 2 4 Stochastic Deterministic Time 3rd Run Stochastic Deterministic 0 2 4 6 8 10 Time Population Size 100 150 200 250 300 8 Stochastic Deterministic 0 2 4 6 8 Time stoch(250,62.5,15,20) Population Size 300 100 150 200 250 300 о 09 Stochastic Deterministic ° 2 4 6 8 10 Time 10 50 Population Size 100 150 200 250 300 0 Population Size 50 100 150 200 250 300 ° Stochastic Deterministic 0 2 4 6 8 10 Time stoch(250,62.5,3,4) Stochastic Deterministic 0 2 4 6 Time 8 10 Then the process was repeated for stoch(250,62.5,15,20) and stoch(250,62.5,3,4) using different values for the last two numbers in parentheses. Be sure to see if you can identify the level of precision that you would be comfortable with if you were managing this population
Population Size 50 100 150 200 250 300 ° 1. Use the info below to answer the following: How did the level of precision of field estimates of parameters influence your confidence in the output from population models for guiding harvest? Did you identify a needed level of precision that you would be comfortable with if you were managing this population? Support your answer with data and images from your R session. The following codes were run to make graphs to look at the impact of imprecision in our estimates of the field data. In this command, the values in parentheses represent the starting population size (should be≤500), the desired harvest number, and the percent precision in population size and harvest, respectively. The code was run 3 extra times without changing the values in parentheses. This will illustrate the role of stochasticity in the system. The graph changed each time. stoch(250,62.5,10,10) 1st Run 2nd run Population Size 50 100 150 200 250 300 ° 0 - 2 4 Stochastic Deterministic Time 3rd Run Stochastic Deterministic 0 2 4 6 8 10 Time Population Size 100 150 200 250 300 8 Stochastic Deterministic 0 2 4 6 8 Time stoch(250,62.5,15,20) Population Size 300 100 150 200 250 300 о 09 Stochastic Deterministic ° 2 4 6 8 10 Time 10 50 Population Size 100 150 200 250 300 0 Population Size 50 100 150 200 250 300 ° Stochastic Deterministic 0 2 4 6 8 10 Time stoch(250,62.5,3,4) Stochastic Deterministic 0 2 4 6 Time 8 10 Then the process was repeated for stoch(250,62.5,15,20) and stoch(250,62.5,3,4) using different values for the last two numbers in parentheses. Be sure to see if you can identify the level of precision that you would be comfortable with if you were managing this population
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Question
Transcribed Image Text:Population Size
50 100 150 200 250 300
°
1. Use the info below to answer the following: How did the level of precision of field estimates of
parameters influence your confidence in the output from population models for guiding harvest? Did
you identify a needed level of precision that you would be comfortable with if you were managing this
population? Support your answer with data and images from your R session.
The following codes were run to make graphs to look at the impact of imprecision in our estimates of
the field data. In this command, the values in parentheses represent the starting population size (should
be≤500), the desired harvest number, and the percent precision in population size and harvest,
respectively. The code was run 3 extra times without changing the values in parentheses. This will
illustrate the role of stochasticity in the system. The graph changed each time.
stoch(250,62.5,10,10)
1st Run
2nd run
Population Size
50 100 150 200 250 300
°
0
-
2
4
Stochastic
Deterministic
Time
3rd Run
Stochastic
Deterministic
0
2
4
6
8
10
Time
Population Size
100 150 200 250 300
8
Stochastic
Deterministic
0
2
4
6
8
Time
stoch(250,62.5,15,20)
Population Size
300
100 150 200 250 300
о
09
Stochastic
Deterministic
°
2
4
6
8
10
Time
10
50
Population Size
100 150 200 250 300
0
Population Size
50 100 150 200 250 300
°
Stochastic
Deterministic
0
2
4
6
8
10
Time
stoch(250,62.5,3,4)
Stochastic
Deterministic
0
2
4
6
Time
8 10
Then the process was repeated for stoch(250,62.5,15,20) and stoch(250,62.5,3,4) using different
values for the last two numbers in parentheses. Be sure to see if you can identify the level of
precision that you would be comfortable with if you were managing this population
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