Assignment 1: LASA 2: The Apportionment Problem 3


ou are a census conductor in a newly republican people and you own been abounding after a while using the census facts from the consultation beneath to mention how 100 councilional seats should be disconnected inchoate the 10 avers of the connection.














Being a fan of United States narrative, you are common after a while the frequent systems of award applied to this quantity to finish impartial resemblance in the US House of Representatives. You flow that award (section 11, sections 1-4 in your textbook) is the best path to solving this quantity, but deficiency to parallel diverse systems and then mention which is really impartial. 

  1. Using the Hamilton system of award, mention the reckon of seats each aver should entertain. 
  2. Using the reckons you proper congenial from engageing the Hamilton system, mention the mean principal for each aver. Explain your resolution making process for allocating the cherishing seats. 
  3. Calculate the despotic and referring-to roguery of this award.
  4. Explain how changes in aver boundaries or populations could seek the counterpoise of resemblance in this council. Provide an specimen using the results over. 
  5. How and why could an Alabama Paradox arise? 
  6. Explain how engageing the Huntington-Hill award system helps to quit an Alabama Paradox.
  7. Based upon your habit in solving this quantity, do you handle award is the best way to finish impartial resemblance? Be trusting to buttress your counter-argument.
  8. Suggest another management that could be applied to finish impartial resemblance either using award systems or a system of your choosing.

You may consummate your own calculations or use either the Excel spreadsheet or the Excel 2013 Spreadsheet to aid you. You must pretence some calculations in your muniment to conduct that you perceive how to consummate these tasks. Be trusting to mitigate your composition in a Word muniment and propose it to the M5: Assignment 1 Dropbox by Monday, August 28, 2017

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