STAT 113 Data, Variables and Sampling Colin Reimer Dawson Oberlin - - PowerPoint PPT Presentation

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STAT 113 Data, Variables and Sampling Colin Reimer Dawson Oberlin - - PowerPoint PPT Presentation

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


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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

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Death Penalty and Race Cases and Variables

Race and the Death Penalty

Data from 1981 Florida Homocide Convictions

Black White Defendant's Race DP / Convictions 0.00 0.04 0.08

Figure: Proportions of Death Sentences out of Total Convictions, by Defendant’s Race. Source: Agresti (2002)

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Death Penalty and Race Cases and Variables

Race and the Death Penalty

Black White Defendant's Race Black White Victim's Race

  • Prop. DP

0.0 0.2 0.4

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

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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

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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

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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

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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)

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