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STAT 1100

Chance: An Introduction to Statistics

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Course Description

Discipline(s): Quantification, Computation & Data Analysis

This course studies introductory statistics and probability, visual methods for summarizing quantitative information, basic experimental design and sampling methods, ethics and experimentation, causation, and interpretation of statistical analyzes. Applications use data drawn from various current sources, including journals and news. No prior knowledge of statistics is required. Students will not receive credit for both STAT 1100 and STAT 1120.


  • Yue Liu
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    3.74

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    Fall 2010

  • Xiaoxiao Tang
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     GPA

    3.61

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    Summer 2012

  • Jeffrey Holt
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    3.61

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    Spring 2024

  • Lauren Williams
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    3.44

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    3.00

     GPA

    3.60

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    Spring 2016

  • Justin Weinstock
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    4.00

     Difficulty

    2.00

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    3.57

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    Spring 2018

  • Karen Kafadar
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     GPA

    3.53

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    Fall 2018

  • Zhenjun Ma
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     GPA

    3.50

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    Fall 2011

  • Ala Abdelbaki
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    3.50

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    Summer 2014

  • Yanqing Hu
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    3.50

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    Spring 2011

  • Maria Tackett
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    3.63

     Difficulty

    1.88

     GPA

    3.49

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    Spring 2018

  • Paul Ferrara
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     GPA

    3.43

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    Spring 2010

  • Krista Varanyak
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     GPA

    3.36

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    Fall 2017

  • Heather Cook
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    2.92

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    2.50

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    3.33

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    Fall 2018

  • Diana Morris
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     GPA

    3.31

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    Spring 2012

  • Janet Kung
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    3.28

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    Spring 2011

  • Kenneth Strazzeri
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    2.78

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    Summer 2010

  • Gretchen Falk
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    Spring 2010

  • Faculty Staff
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    3.00

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    2.00

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    5

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    Spring 2026

  • Ye Lin
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    Fall 2019

  • Jianhui Sun
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    3.00

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    2.00

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    Spring 2019

  • Yinge Sun
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    Spring 2019

  • Jesse Helman
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    3.44

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    2.00

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    Fall 2020

  • Huazhang Li
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    Fall 2019

  • Tianyuan Zhou
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    Spring 2022

  • Jordan Brewer
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    Spring 2022

  • - -
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    Spring 2023

  • To Announced
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    Fall 2025

  • Ga Chan
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    Fall 2022

  • Xiaoyuan Ma
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    Spring 2023

  • Mingyu Qi
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    3.67

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    2.00

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    Spring 2023

  • Isabella Femia
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    1.67

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    3.00

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    Summer 2024

  • Haowen Zhou
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    3.67

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    2.00

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    Spring 2024

  • Kyle Peterson
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    Summer 2025