Louisiana 2019: Governor Within Margin of Victory
…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. Data…
…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. Data…
…The data was weighted by gender, age, education, region and mode based on 2016 turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity…
…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….
…age, ethnicity, region and mode based on 2016 turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with them higher…
…weighted based on 2016 voter model of ethnicity, age, education, region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with them higher…
…party, age, ethnicity, age, and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with them higher margins of error, as…
…weighted based on 2016 voter model of age, mode, party registration, ethnicity, and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region…
…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. Data was…
…registration, ethnicity, and region. 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…