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https://www.kaggle.com/ppandey1/2016-us-presidential-election... https://www.kaggle.com/ppandey1/2016-us-presidential-election dataset can be found in the link above. 1)Build a Pivot table that shows the number of counties that supported the Republican candidate

https://www.kaggle.com/ppandey1/2016-us-presidential-election...

https://www.kaggle.com/ppandey1/2016-us-presidential-election

dataset can be found in the link above.

1)Build a Pivot table that shows the number of counties that supported the Republican candidate in 2016 with support of 0-9.99%, 10-19.99%, 20-29.99%, (MOST IMPORTANT HOW DO YOU FILTER THIS IN THE PIVOT TABLE) etc.That is, the first column should list these percentages (10 groups total), and the second column should list the number of counties that generated that level of Republican support.

2)Use a graphic to make an interesting observation.

3)Use an odds ratio to answer the following question: How much more likely is a county to vote Democratic in the 2016 election, given that at least 10% of the population has a graduate degree?

4)Are these results statistically significant?That is, conduct a chi-squared test and state your results in terms of a hypothesis test and p-value.

5)What is the danger of making these types of observations (questions 3 and 4) without further statistical analysis?

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