North Carolina 2020: Biden and Trump in Dead Heat
…education, party affiliation, race and region based on 2016 voter turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with…
…education, party affiliation, race and region based on 2016 voter turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with…
…on 2016 voter turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error, as the…
…modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error, as the sample size is reduced….
…3.7 percentage points. The data sets were weighted by gender, age, and education based on 2016 voter turnout modeling. It is important to remember that subsets based on gender, age,…
…education based on 2016 voter turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error,…
…important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error, as the sample size is reduced. Data was collected…
…to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error, as the sample size is reduced. Data was collected using…
…voter turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error, as the sample size…
…voter turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error, as the sample size…