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Scatter-point analysis is a way to see how changes in the number of people from different races affect voting patterns. It involves making a graph to show if the percentage of votes for a candidate goes up or down as the percentage of voters from a certain race changes. This helps us understand how race can impact elections.
Scatter-point analysis is a way to study how changes in the population of a minority group affect voting patterns. This method involves plotting the percentage of votes that candidates receive to see if there is a correlation between the percentage of voters of a particular race and the voting percentages.
Let's say there is a city with a population of 100,000 people. Of those 100,000 people, 20,000 are African American. In the last election, Candidate A received 60% of the vote and Candidate B received 40% of the vote. If we plot the percentage of African American voters against the percentage of votes received by Candidate A, we can see if there is a correlation.
If we find that as the percentage of African American voters increases, the percentage of votes received by Candidate A decreases, we can conclude that there may be some racial bias in the voting patterns. This information can be used to address any issues of discrimination and work towards creating a more equitable voting system.