STAT 2020

Statistics for Biologists

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Course Description

Discipline(s): Quantification, Computation & Data Analysis

This course includes a basic treatment of probability, and covers inference for one and two populations, including both hypothesis testing and confidence intervals. Analysis of variance and linear regression are also covered. Applications are drawn from biology and medicine. No prior knowledge of statistics is required. Co-requisite: Concurrent enrollment in a lab section of STAT 2020.


  • Jessica Curran

     Rating

    2.64

     Difficulty

    3.25

     GPA

    3.31

     Sections

    Last Taught

    Summer 2016

  • Rebecca Hehn

     Rating

    2.83

     Difficulty

    2.90

     GPA

    3.36

     Sections

    Last Taught

    Spring 2019

  • Maria Ferrara

     Rating

    3.30

     Difficulty

    2.49

     GPA

    3.56

     Sections

    6

    Last Taught

    Spring 2026

  • James Lark

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2012

  • Xiaoxiao Tang

     Rating

     Difficulty

     GPA

    3.48

     Sections

    Last Taught

    Summer 2013

  • Jing Guo

     Rating

     Difficulty

     GPA

    3.69

     Sections

    Last Taught

    Spring 2011

  • Zhenjun Ma

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Summer 2010

  • Wei Ma

     Rating

     Difficulty

     GPA

    3.52

     Sections

    Last Taught

    Fall 2011

  • Caitlin Steiner

     Rating

     Difficulty

     GPA

    3.71

     Sections

    Last Taught

    Summer 2012

  • Hongjian Zhu

     Rating

     Difficulty

     GPA

    3.41

     Sections

    Last Taught

    Spring 2010

  • Faculty Staff

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Spring 2017

  • Alice Liu

     Rating

     Difficulty

     GPA

    2.97

     Sections

    Last Taught

    Summer 2016

  • Huazhang Li

     Rating

     Difficulty

     GPA

     Sections

    Last Taught

    Summer 2018