AP Stats 1.2 (Version A) - Describing Categorical Data

Skew The Script13 minutes read

Mr. Young-saver analyzes the "Stop and Frisk program" data in NYC, focusing on stop rates among racial groups in 2020, finding that Black civilians are stopped the most, followed by Hispanic civilians. The data shows similar crime rates among different racial groups stopped by police, with White civilians having a slightly higher crime rate than Asians, contradicting previous claims made by Mayor Bloomberg.

Insights

  • Black civilians are stopped at a majority rate by police in New York City, followed by Hispanic civilians, as indicated by the data analysis conducted by Mr. Young-saver from Skew The Script.
  • While crime rates among different racial groups stopped by police appear to be fairly similar, there is a noticeable association between race and rates of criminal activity found during stops, with white civilians having a higher crime rate than Asian civilians, challenging previous claims made by Mayor Bloomberg and others.

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Recent questions

  • What is the focus of the analysis on policing and race?

    Stop rates among different racial groups in 2020.

  • What method is used to analyze the racial distribution of people stopped by police?

    Marginal distributions.

  • How are crime rates among each racial group stopped by police analyzed?

    Conditional distributions.

  • What is the association between race and rates of criminal activity found during stops?

    Slight association, with white civilians having a higher crime rate than Asian civilians.

  • What alternative perspective is presented regarding crimes committed by different racial groups?

    Black civilians have a higher percentage of crimes committed compared to Asian civilians.

Related videos

Summary

00:00

Analyzing Policing and Race in NYC

  • Mr. Young-saver from Skew The Script discusses policing and race, analyzing a real data set.
  • The data set is from the "Stop and Frisk program" in New York City, where police record detailed data on every stop.
  • The focus is on stop rates among different racial groups in 2020, with data publicly available.
  • Marginal distributions are used to analyze the racial distribution of people stopped by police.
  • Black civilians are stopped at a majority rate, followed by Hispanic civilians.
  • A side-by-side bar graph compares the distribution of people stopped by police to the general population of New York City.
  • Conditional distributions are used to find crime rates among each racial group stopped by police.
  • A segmented bar plot visualizes reported crime rates among different racial groups.
  • Overall, crime rates seem fairly similar among racial groups, with some noticeable differences.
  • There appears to be a slight association between race and rates of criminal activity found during stops, with white civilians having a higher crime rate than Asian civilians.

12:37

Racial Disparities in Crime Rates Revealed

  • Among stops of white civilians, 41.1% found evidence of criminal activity, with lower rates among Hispanic, Black, and Asian civilians at 40%, 39%, and 35% respectively. Despite this, when visualized, the crime rate among stops of each racial group appears similar, contradicting claims made by Mayor Bloomberg and others.
  • A different analysis of the data focusing on stops that resulted in criminal activity showed that a higher percentage of crimes were committed by Black civilians (66%) compared to Asian civilians (2.1%). This alternative perspective suggests that individuals of color in the dataset are more likely to commit crimes, potentially supporting Bloomberg's previous assertions.
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