Lake Michigan, Lake Superior, Lake Erie, Lake Ontario, and Lake ___________ are collectively referred to as the Great Lakes

(1.5 points) a) Define Total Fertility Rate. b) Consider the graph below and explain what can be inferred (concluded) from the data it shows.

To calculate the population density of people in Minnesota, you would need to know:

Refer to the following table to answer the next two questions. 2021 Federal Income Tax Brackets   Taxable Income Tax Rate $0–$9,950 10% $9,951–$40,525 12% $40,526–$86,375 22% $83,376–$164,925 24% $164,926–$209,425 32% $209,426–$523,600 35% Over $523,600 37%     Using the table, what is the total federal income tax bill for someone who makes $120,000 per year?  

Pick 1 of the following options to address. Option 1: How to Kill a CityConsider the arguments about gentrification in How to Kill a City by Peter Moskowitz. Now that you have spent most of a semester learning about how to develop a city economically and how to run a city administratively. Do the activities that we’ve discussed this semester (be specific) ultimately set the stage for building a city or do they set the stage for “killing” it?Option 2: Walkable CityPart A: Application of Walkability PrinciplesSpeck outlines several principles and strategies for making cities more walkable. Choose two of these principles and discuss how they can be implemented in a small American city like Joplin. What challenges might urban planners face when applying these principles, and how can they be overcome?Part B: Critical Evaluation of Speck’s VisionWhile Speck’s vision of a walkable city is compelling, it may not be feasible for all cities or neighborhoods. Critically evaluate the potential drawbacks or limitations of Speck’s ideas. Are there any specific contexts or types of urban environments where his approach might not be as effective or applicable?

Throughout this course, you have had the opportunity to engage with a diverse group of guest speakers, including a city manager, real estate developer, and city planner. Each speaker brought unique perspectives on the challenges and opportunities involved in urban development, governance, and community planning.In this essay, synthesize the key takeaways from these guest speakers, drawing connections between their insights and identifying how their respective roles interact within the broader context of city management and urban development.Consider the following guiding questions as you structure your response:City Management: How does the city manager’s role in public administration and decision-making influence the development of local policies and initiatives?Real Estate Development: What challenges and opportunities did the real estate developer highlight when planning and executing projects within urban environments? How do these projects impact the city’s growth and sustainability?City Planning: From the city planner’s perspective, what is the importance of long-term planning, zoning, and infrastructure in shaping livable and thriving urban spaces?In your essay, aim to weave together these insights, demonstrating an understanding of how each speaker’s expertise contributes to creating dynamic and successful urban environments. Be sure to incorporate specific examples from the speakers’ presentations to support your analysis.

The figure below shows a set of 2-D data samples in two clusters: red for C1 and blue for C2. Could this outcome be produced by performing k-means clustering directly on the 2-D data samples?              

Pair the machine learning tasks with the optimization criteria listed below by filling in each blank slot with one label of A, B, C, or D.  Training tasks: A.  principal component analysis  B.  Bayes classifier design C.  multivariate Gaussian density estimation D.  logistic regression estimation  Optimization criteria: Maximum likelihood estimation:  [a] Minimum cross entropy: [b] Minimum classification error:  [c] Maximum variance preservation: [d]

Update the centroids of the two clusters after the above assignment step. m1_new = [[m11]  [m12]]’,  m2_new = [[m21] [m22]]’  

Assuming the decision threshold θ = 1.5 for minimum error classification, determine which type of the expected classification error below is larger? A. The error of assigning