IS 6833 Professor Vicki Sauter

Slides:



Advertisements
Similar presentations
Statistics lecture 4 Relationships Between Measurement Variables.
Advertisements

Crime and Incarceration ALC – Summer 2007 Alicia Simmons.
The Effectiveness of Gun Control Laws Kelsey Roberts SUMMARY Legislative responses to higher crime rates, specifically homicide rates, often seek to raise.
Chapter 11 Contingency Table Analysis. Nonparametric Systems Another method of examining the relationship between independent (X) and dependant (Y) variables.
Patrol Procedures Chapter 4. Traditional Methods There are three traditional methods of uniformed patrol: Random Routine Patrol Rapid Response to Citizens’
Maryland’s Changing Demographics Leadership Challenge XV June 13, 2006 Presented by Mark Goldstein Maryland Department of Planning.
Unlock the truth! The lesson I taught my class was---- What is public policy? - The students needed to understand what public policy is and how it works.
Race, Politics, and the Law Statistics. Race, Politics, and the Law Imprisonment Sixty-four percent of prison inmates belonged to racial or ethnic minorities.
Racial Profiling What is it?. Race is used by law enforcement as a basis for criminal suspicion Race is used by law enforcement as a basis for criminal.
CHAPTER 3 Quantitative Demand Analysis Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written.
Unit 6: Systemic Disparities and Community Perceptions Prepared by Building Community Trust: Improving Cross-Cultural Communication in the Criminal Justice.
1 The High Cost of Segregation Exploring Racial Disparities in High Cost Lending Vicki Been, Ingrid Ellen, Josiah Madar, Johanna Lacoe Urban Affairs Association.
Chicago Crime Data Project (CCDP) John Mounce & Billy Joe Mills Typical Chicago Criminal.
HR Analysis April 4, 2014 MBP Professor Judson Glenice Booker-Butler, Mark Dominik, Tammi Dorion & Fred Paul.
1.What is Pearson’s coefficient of correlation? 2.What proportion of the variation in SAT scores is explained by variation in class sizes? 3.What is the.
A County Level Analysis of Educational Attainment in the United States by Social, Economic and Geographic Variables BY Brandon Hallstrand (University of.
Group 3 Members:Dan Sun Hongliang Wu Hui Lai Hui Wang Ling-Ching Hsu Seok-Rahn Lee Shin-Hao Lee Yuanbo Mao Analysis of House Price in California Econ 240.
McGraw-Hill © 2005 The McGraw-Hill Companies, Inc. All rights reserved. Police in America Chapter Twelve Police-Community Relations.
CJA 314 Week 4 DQ 3 To purchase this material link Week-4-DQ-3 CJA 314 Week 4 DQ 3 Which crime causation.
Two Crossed Random Factors
Racial Diversity of Virginia Sheriffs’ Offices
Stop , Question and Frisk Statistical Analysis
Gender and Race Effects on Accuracy in a Facial Recognition Task
County Rankings for Select Variables in Rank and Alphabetical Order
BASIC ECONOMETRICS.
CJA 364 PAPER Teaching Resources /cja364paper.com
IS 6833 Professor Vicki Sauter
How Closely Do California’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of California’s general population.
How Closely Do Illinois’ RN Graduates Reflect the State’s Diversity?
How Closely Do Ohio’s RN Graduates Reflect the State’s Diversity?
How Closely Do Ohio’s RN Graduates Reflect the State’s Diversity?
How Closely Do Georgia’s RN Graduates Reflect the State’s Diversity?
How Closely Do Washington’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of Washington’s general.
How Closely Do Washington’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of Washington’s general population.
How Closely Do Massachusetts’ RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of Massachusetts’ general.
Two Crossed Random Factors
Illinois Recidivism Studies
How Closely Do New Mexico’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of New Mexico’s general population.
How Closely Do New Mexico’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of New Mexico’s general.
Tract > 75% White Tract > 75% Black Tract > 25% Hispanic Tract > 25% White and > 25% Black Tract has other racial composition.
How Closely Do California’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of California’s general.
How Closely Do Oregon’s RN Graduates Reflect the State’s Diversity?
How Closely Do Pennsylvania’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of Pennsylvania’s general.
How Closely Do New York’s RN Graduates Reflect the State’s Diversity?
Table 7.6: Percent Uninsured by Race,(1) 1984 – 2014
How Closely Do Virginia’s RN Graduates Reflect the State’s Diversity?
How Closely Do Massachusetts’ RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of Massachusetts’ general.
How Closely Do Illinois’ RN Graduates Reflect the State’s Diversity?
How Closely Do Massachusetts’ RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of Massachusetts’ general.
How Closely Do New York’s RN Graduates Reflect the State’s Diversity?
How Closely Do Florida’s RN Graduates Reflect the State’s Diversity?
Professor, Criminology and Sociology Professor, Law and Epidemiology
How Closely Do Ohio’s RN Graduates Reflect the State’s Diversity?
Did not have a usual source of care Went without care because of cost
How Closely Do Michigan’s RN Graduates Reflect the State’s Diversity?
How Closely Do Michigan’s RN Graduates Reflect the State’s Diversity?
How Closely Do Georgia’s RN Graduates Reflect the State’s Diversity?
How Closely Do Georgia’s RN Graduates Reflect the State’s Diversity?
How Closely Do Washington’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of Washington’s general population.
Cases. Simple Regression Linear Multiple Regression.
How Closely Do Oregon’s RN Graduates Reflect the State’s Diversity?
How Closely Do Florida’s RN Graduates Reflect the State’s Diversity?
How Closely Do Virginia’s RN Graduates Reflect the State’s Diversity?
How Closely Do California’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of California’s general population.
How Closely Do New Mexico’s RN Graduates Reflect the State’s Diversity? This chart compares the racial and ethnic composition of New Mexico’s general population.
How Closely Do Maine’s RN Graduates Reflect the State’s Diversity?
How Closely Do Florida’s RN Graduates Reflect the State’s Diversity?
How Closely Do New York’s RN Graduates Reflect the State’s Diversity?
Displaying Distributions – Qualitative Variables
Share of Medicare beneficiaries Median (50th percentile)
Presentation transcript:

IS 6833 Professor Vicki Sauter NYC Stop, Question and Frisk Analytics Assignment 10 May 2017 Group C Sam Clervi Kory Mitchell Rachel Petzoldt Mark Phillips Sabina Yuan

Outline Data Preparation and Approach Analysis Findings Did the NYC SQF program decrease crime? Did the NYC SQF program decrease weapons? Was there bias in the SQF program?

Data Preparation & Approach Obtained outside NYC crime statistics Historical NYC crime data 2000 – 2016 NYC crime and enforcement activity by race 2008 – 2015

Analysis Findings NYC SQF found to decrease overall crime rate NYC SQF found not to impact overall weapons arrests Racial bias found in NYC SQF program Based on NYC population by race Based on NYC criminal activity data

Did the program reduce crime? Results: Presence of the NYC SQF showed statistical significance in decreased overall crime Methodology: Linear regression to test impact of NYC SQF on number of arrests Investigated SQF variables affecting overall crime, but no statistically significance NYC Arrests = -11,036.9 * Year – 38,309.7 * SQF + 22,828,043

Did the program reduce weapons? Results: The NYC SQF did not show statistical significance in weapon reduction Methodology: Linear regression to test impact of NYC SQF on number of arrests Investigated SQF variables affecting overall crime, but no statistically significance NYC Weapons = 165.3 * Year + 334.6 * SQF – 327,796

Was there bias in the program? Results: All races showed statistical significance except Hispanic Bias in SQF toward Black Methodology: Paired t-Test to compare SQF stops by race and NYC population by race Race SQF Pop. NYC Pop. Pearson t-Stat API 3.7 % 13.4 % 0.85 -61.61 Black 52.7 % 23.2 % -0.58 58.31 White 10.2 % 34.1 % -0.41 -35.57 Hispanic 30.2 % 29.3 % ---

Was there bias in the program? Results: All races showed statistical significance Bias in SQF toward API and Black Methodology: Paired t-Test to compare SQF stops by race and NYC arrests by race Race SQF Arrests NYC Arrests Pearson Coeff. t-Stat API 3.7 % 3.4 % 0.89 2.23 Black 52.7 % 48.6 % -0.53 4.05 White 10.2 % 12.8 % 0.28 -6.74 Hispanic 30.2 % 35.1 % -0.57 -4.99

Thank You! Sam Clervi Kory Mitchell Rachel Petzoldt Mark Phillips Sabina Yuan

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.