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Death Penalty and Race Cases and Variables STAT 113 Data, Variables and Sampling Colin Reimer Dawson Oberlin College 29 August 2017 1 / 9 Death Penalty and Race Cases and Variables Race and the Death Penalty Data from 1981 Florida


  1. Death Penalty and Race Cases and Variables STAT 113 Data, Variables and Sampling Colin Reimer Dawson Oberlin College 29 August 2017 1 / 9

  2. Death Penalty and Race Cases and Variables Race and the Death Penalty Data from 1981 Florida Homocide Convictions DP / Convictions 0.08 0.04 0.00 Black White Defendant's Race Figure: Proportions of Death Sentences out of Total Convictions, by Defendant’s Race. Source: Agresti (2002) 3 / 9

  3. Death Penalty and Race Cases and Variables Race and the Death Penalty 0.4 Defendant's Race Prop. DP Black White 0.2 0.0 Black White Victim's Race Figure: Proportions of Death Sentences out of Total Convictions, by both Victim’s and Defendant’s Race. Source: Agresti (2002) Black defendants are sentenced to death at higher rates with both white and black victims. But combined, white defendants have a (slightly) higher rate. Why the seeming contradiction?4 / 9

  4. Death Penalty and Race Cases and Variables Cases, AKA “Observational Units” Cases When we collect data, we write down some measurements or characteristics of our cases — the individual “entities” or “observational units” that make up our dataset. • The people in a survey or research study • Plots of land in an agricultural experiment • Days, in a weather dataset 6 / 9

  5. Death Penalty and Race Cases and Variables Categorical vs. Quantitative Variables For each case we record one or more variables . One of the most basic distinctions is between categorical (or “qualitative”) and quantitative data. Categorical: “Qualitative” variable that divides cases into groups Quantitative: Measures something on a scale; arithmetic makes sense 7 / 9

  6. Death Penalty and Race Cases and Variables Categorical vs. Quantitative Variables What are each of these? • Favorite color Categorical • Height in centimeters Quantitative • Age in years Quantitative • T-number Categorical Notice that just using numbers isn’t enough to make a variable numeric. Need to ask: “do the numbers represent an underlying quantity or scale ?” 8 / 9

  7. Death Penalty and Race Cases and Variables Pair Quiz! (5 min.) 1. Which of the following are the cases that make up the Florida death penalty data? (A) Victim’s Race (B) Defendant’s Race (C) Defendants (D) Convicted Defendants 2. Sketch an appropriate table layout (like a “data frame”) for this data. Rows are cases, columns are variables. 3. What are the variables we have looked at? 4. What type is each one? (Categorical/Quantitative) 9 / 9

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