Election Polls Oversight: A reflection on Forecast Accuracy and BiasThe media, locally and internationally, has been labeling this Electionresults as Unexpected, based on early predictions that did not realize.We kept repeating in this class at various times that we should not usesoftware or mathematical model as-is without injecting our knowledgeof our environment, and resorting to tweaking few things to account forthat knowledge and for possibly intangible, non-quantifiable factors.1) Discuss what you believe were the flaws in the Predictions made forthe Election 2016? Was it due to? The Method: Was it the way the polls were collected? Did they reach out to thefull spectrum of the population? (State, gender, age, education, occupation,etc.)? How about the so-called sophisticated forecasting and statistical modelsthat were developed by Experts?Bias? Was there a bias in the entities in charge of the PollsHuman factor: Could statistical sophisticated models capture human feelingssuch as resentment, aspirations, fear, etc.Other factors? Please indicate 2) What are the lessons learned from this? If you were a consultant incharge of the next presidential Elections predictions, what would youmake sure to account for in your forecast?Rules: This is NOT meant to turn into a political forum. Please refrain frompolitically charged statements or any blatant endorsement of eithercandidate. Granted the analysis most likely be touching on economic,cultural, and political factors, but the intent of this exercise is to focuson the PROCESS of prediction, and not expressing endorsement or lackof towards any of the candidates.Failure to abide by these rules will result in dismissing the assignment. Requirements:Answer question 1 and 2 above by expanding on themInclude at least 2 sources (internet) in your discussion and argumentsReport should be a minimum of 3 pages and max of 5 pages
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