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  1. Using Grassy Narrows in a Live Classroom with Clicker Questions and Interactive Histogram: Sampling Distributions, Probability, and Hypothesis Testing

    24 May 2022 | Teaching Materials | Contributor(s):

    By Jonathan Andrew Akin

    Northwestern State University of Louisiana

    Students are introduced to concepts of sampling distributions, p-values, and hypothesis testing. Using both simulated and real data for methylmercury level in fish populations, students will...

    https://qubeshub.org/publications/3249/?v=1

  2. Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests

    28 Jul 2021 | Teaching Materials | Contributor(s):

    By Alida Janmaat1, Pete Kaslik2, Randall LaRue Moser Jr, Kevin David Simpson, Heather Susanne Zimbler-DeLorenzo3

    1. University of the Fraser Valley 2. Pierce College 3. Alfred University

    Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and...

    https://qubeshub.org/publications/2434/?v=1

  3. Discrete Math Modeling with Biological Applications (Course Materials)

    26 Apr 2019 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College and QUBES

    These are the materials for Math 214 offered at Rhodes College.

    https://qubeshub.org/publications/765/?v=1

  4. Discrete Math Modeling with Biological Applications (Course Materials)

    23 Jan 2019 | Teaching Materials | Contributor(s):

    By Erin N. Bodine

    Rhodes College

    These are the materials for Math 214 offered at Rhodes College.

    https://qubeshub.org/publications/749/?v=2

  5. Discrete Modeling and Structures (Course Materials)

    16 Jan 2019 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College and QUBES

    These are the materials for DCS course offered at Bates College. This is a sampler of structures and ways they are used to model biological and social phenomena.

    https://qubeshub.org/publications/1016/?v=1

  6. DataONE Module 01: Why Data Management?

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Amber E Budden

    DataONE

    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.

    https://qubeshub.org/publications/911/?v=1

  7. DataONE Module 03: Data Management Planning

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Amber E Budden

    DataONE

    Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.

    https://qubeshub.org/publications/910/?v=1

  8. DataONE Module 02: Data Sharing

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Amber E Budden

    DataONE

    Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.

    https://qubeshub.org/publications/909/?v=1

  9. ModelSim Population Biology Unit

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Uri Wilensky1, Paulo Blikstein2, Corey Brady3, David Figlio1, Pratim Sengupta4, Jason Bertsche1, Yu (Bryan) Guo1, Nathan Holbert1, Michael Novak1, Firat Soylu1, Aditi Wagh1, Gokul Krishnan4, Brogan Miller2, Shima Salehi2

    1. Northwestern University 2. Stanford University 3. Inquire Learning 4. Vanderbilt University

    This resource provides rich student modeling activities and materials, teacher resources, and much more, in the realm of agent based models applied to population biology.

    https://qubeshub.org/publications/902/?v=1

  10. Statistical Exploration of Climate Data

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Tamra Carpenter1, Jon Kettenring2, Robert Vanderbei3

    1. DIMACS, Rutgers University 2. Research Institute for Scientists Emeriti, Drew University 3. Princeton University

    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.

    https://qubeshub.org/publications/900/?v=1

  11. OpenIntro

    29 Oct 2018 | Teaching Materials | Contributor(s):

    By Divid Diez1, Chris Barr1, Mine Çetinkaya-Rundel2

    1. OpenIntro 2. Duke University

    OpenIntro was started with one goal in mind: create a free and open-source introductory textbook.

    https://qubeshub.org/publications/889/?v=1

  12. Avida-ED presentation: Context Dependent Fitness

    26 Oct 2018 | Teaching Materials | Contributor(s):

    By Maren L Friesen1, Andrew M Jarosz1

    Michigan State University

    Avida-ED presentation

    https://qubeshub.org/publications/880/?v=1

  13. List of models in which observed patterns are Important

    26 Oct 2018 | Teaching Materials | Contributor(s):

    By Steven F Railsback1, Volker Grimm

    Lang Railsback & Associates

    Supplemental material for ABM

    https://qubeshub.org/publications/876/?v=1

  14. Mutation and Selection: An Exploration of Antibiotic Resistance in Serratia Marcescens

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Laurel Hester1, Mark Sarvary2, Corey Ptak

    1. Keuka College 2. Cornell University

    This laboratory module gives students hands-on experience with mutation and selection in bacteria.

    https://qubeshub.org/publications/875/?v=1

  15. NetLogo refresher course

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Steven F Railsback1, Volker Grimm

    Lang Railsback & Associates

    This is a supplemental resource from ABM

    https://qubeshub.org/publications/870/?v=1

  16. Draft Version: Energy Balance Models

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Daniel Flath, Hans G. Kaper, Frank Wattenberg, Esther Widiasih

    This module introduces the student to the process of mathematical modeling.

    https://qubeshub.org/publications/863/?v=1

  17. Project MOSAIC

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Daniel Kaplan1, Karl-Dieter Crisman2, Nicholas Horton3, Eric Marland4, Randall Pruim5

    1. Macalester College 2. Gordon College 3. Amherst College 4. Appalachian State University 5. Calvin College

    Our goal: Provide a broader approach to quantitative studies that provides better support for work in science and technology.

    https://qubeshub.org/publications/825/?v=1

  18. Dairy Farm Mathematics

    11 Sep 2018 | Teaching Materials | Contributor(s):

    By Richard Francisco1, Katie Gilbert1

    University of Georgia

    We based our instructional unit on the premise that many people have, that one does not need mathematics if the they do not plan on atttending college or pursuiting careers known for involving...

    https://qubeshub.org/publications/783/?v=1

  19. statsTeachR

    11 Sep 2018 | Teaching Materials | Contributor(s):

    By Nicholas G. Reich1, Andrea S. Foulkes1, Harrel Blatt1, Eric A. Cohen1, Gregory Matthews1

    University of Massachusetts

    statsTeachR is an open-access, online repository of modular lesson plans, a.k.a. "modules", for teaching statistics using R at the undergraduate and graduate level.

    https://qubeshub.org/publications/781/?v=1

  20. Yeast Cell Growth

    23 Aug 2018 | Teaching Materials | Contributor(s):

    By Claudia Neuhauser

    University of Minnesota

    Numbers Count resource using Excel for data analysis

    https://qubeshub.org/publications/755/?v=1

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