Pick one of the prompts below. In a minimum of three parag…

  Pick one of the prompts below. In a minimum of three paragraphs, write an essay response. In your response, begin with (#) to determine which prompt you are using.  Example: (2) Four score and seven years ago…    1. Some women worked in the mills, relishing the freedom and independence they felt away from the farm for the first time, while others developed a cult of domesticity, thinking themselves free to not have to work outside the home. Compare the meaning of freedom for these two groups of women. Think back to previous chapters and compare the role of women during the market revolution with the “republican motherhood” role of women during the American Revolution.   2. The Marquis de Lafayette, who fought for American independence and revisited the United States fifty years later, wrote, “I would never have drawn my sword in the cause of America if I could have conceived that thereby I was founding a land of slavery.” What might Lafayette have seen in 1824 America that would impel him to make such a statement? How had slavery evolved? Was it expanding? How entrenched in American life was it at this time?   3. Explain how the religious revivals of the Second Great Awakening popularized the outlook known as perfectionism, which held that both individuals and society at large were capable of indefinite improvement. How did this idea of perfectionism relate to the various reform movements that arose in the antebellum period?   4. Thinking back to previous chapters, analyze America’s policies toward Native Americans from the Washington administration through the removal of Native Americans from the southeastern states in the 1830s and early 1840s. What ideas and policies remained the same? Which changed? Why?   5. Compare the Articles of Confederation to the Constitution. Which document did a better job of protecting liberties? Running a government? Explain your answer with specific examples.  

Download the exam2dataset1.dat, the fit_data.py module, and…

Download the exam2dataset1.dat, the fit_data.py module, and the fit_script.py files from the Canvas page.  Complete the fit_script.py file so that it: Opens the correct data file, Applies the quadratic polynomial fit to the data, and Applies the exponential fit to the data. Select the better quality fit between the two types of fits and enter the first returned coefficient (the constant of the quadratic function or the leading factor C in the exponential model

The first set of questions require you to match health dispa…

The first set of questions require you to match health disparities/inequities to the racial/ethnic group MOST affected.  Although some diseases or problems may be a disparity/inequity for more than one group, there is only one correct racial/ethnic group for each disease or problem. Use the process of elimination to rule out implausible answers and select the best choice. There may be some choices that are never used.

Prompt 1: What set the U.S. and the Soviet Union apart, how…

Prompt 1: What set the U.S. and the Soviet Union apart, how did the Cold War affect American politics and legislation, and provide at least two examples (with details) of global conflicts that were fueled by this US/Soviet confrontation. (60pts) Prompt 2: What legislation and movements took place during the 1960s to illustrate that citizens had more rights and access to social services? (40pts)  

Question 2: Statistical Significance – 6 points For this que…

Question 2: Statistical Significance – 6 points For this question, use the unstandardized trainData. In model1, which regression coefficients are significant at the 95% confidence level? Are these the exact same regression coefficients that are significant at the 90% confidence level? (2 points) Build a new model using only the variables whose coefficients were found to be statistically significant at the 95% confidence level. Call it model2. Display the model summary. Using model2, interpret the coefficient of bp in the context of the data description. State any assumptions while interpreting the coefficient. (2 points) Perform a Partial F-test to compare the reduced model (model2) with the full model (model1) and interpret it at the 95% confidence level. Which one would you prefer? Is it good practice to select variables based on the statistical significance of individual coefficients? Why or why not? (2 points)