Overview: Now that both models have been created, we want to determine which of the models more accurately fits population data.
Prompt: Compare and contrast your models. Clearly describe what makes the models different, and what features are similar between the two. Be specific with
your examples, and describe the tools, technology, and techniques you used in the analysis. Why are these tools appropriate?
Next, execute your solution methods using United Nations data about world population from 1950 to the present. Choose a country and a representation of the
data, and see how your models fit this data. If there are major disconnects, discuss why this might be occurring.
Finally, modify the variables in your equations, and describe how this affects the results of your model. Determine the domain of the variables, and discuss how
sensitive the final outcome is to the variable that you discuss.
Be sure to include the following critical elements:
I. Model Implementation
A. Compare and Contrast: Compare and contrast your models. How are the models similar? How are the models different? Make sure to support
your analysis with specific examples.
B. Analysis: Analyze your models using United Nations data about world population from 1950 to the present.
C. Tools and Technology: Discuss the tools, technology, and techniques you used to analyze your models. Why were these tools and techniques
appropriate?
D. Behavior: Discuss the behavior of each model based on your analysis of the models after creation, as well as the effect of changing the initial
reproduction rate.
Guidelines for Submission: This milestone should be 1–2 pages in length, with double spacing, 12-point Times New Roman font, one-inch margins, and proper
headings. Use APA style for formatting and citations. The audience for this assignment is nonmathematical people and therefore should include clear
explanations of possibly confusing concepts.