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SOC 3130

Introduction to Social Statistics

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Course Description

Pre-Requisite(s): SOC 3120
Discipline(s): Quantification, Computation & Data Analysis

Studies elementary statistical methods for social science applications. Topics include summarizing data with graphs and descriptive measures, generalizing from a sample to a population as in opinion polls, and determining the relationship between two variables. No special mathematical background is required, and students will be taught basic computer techniques. Three hours of lecture, two hours of laboratory work. Majors are expected to take this course in their third year.


  • Sarah Mosseri
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    3.57

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    Spring 2016

  • William Wilcox
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    3.44

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    2.50

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    Spring 2024

  • Tara Tober
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    Summer 2010

  • Charles McCoy
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    3.29

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    Summer 2012

  • Matthew Ericson
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    3.28

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    Summer 2018

  • Meredith Bergey
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    3.26

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    Summer 2016

  • Hexuan Zhang
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    3.21

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    Spring 2018

  • Adam Slez
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    3.16

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    Spring 2025

  • Josipa Roksa
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    3.55

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    2.64

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    Spring 2012

  • David Morris
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    Summer 2013

  • Joris Gjata
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    Summer 2014

  • Elizabeth Gorman
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    1.00

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    5.00

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    2.85

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    Spring 2019

  • Aaron Peeksmease
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    2.00

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    3.50

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    2.61

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    Spring 2018

  • Megan Swanson
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    Summer 2011

  • Mark Parker
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    Spring 2011

  • Paul Rosenstein
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    Spring 2014

  • Yuliya Dudaronak
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    Spring 2013

  • Claire Maiers
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    Spring 2013

  • Madison Sandy
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    Spring 2011

  • Brice McKeever
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    Spring 2011

  • Kara Fitzgibbon
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    Spring 2016

  • Samuel Richardson
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    Spring 2013

  • Faculty Staff
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    Spring 2022

  • Sarah Johnson
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    Spring 2017

  • Yapeng Wang
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    Spring 2022

  • Di Shao
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    Spring 2022

  • Kathryn Babineau
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    Summer 2023

  • Xian Qu
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    Spring 2020

  • Johanna O'Loughlin
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    Summer 2019

  • Vidushi Bahuguna
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    1.33

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    3.50

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    Summer 2025

  • To Announced
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    Spring 2026

  • Drew Newitt
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    Summer 2024

  • Yifeng Wan
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    Spring 2026

  • To Be Announced
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    Spring 2025