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Tags: hypothesis testing

All Categories (1-11 of 11)

  1. Ferns are Everywhere

    09 Sep 2019 | Teaching Materials | Contributor(s):

    By Claudia Neuhauser

    University of Houston

    Using spatial fern population data in hypothesis testing

    https://qubeshub.org/qubesresources/publications/753/?v=2

  2. Exploring how climate will impact plant-insect distributions and interactions using open data and informatics

    06 Jun 2019 | Teaching Materials | Contributor(s):

    By Wendy Clement1, Kathleen Prudic2, Jeffrey Oliver3

    1. The College of New Jersey 2. University of Arizona 3. University of Arizona Libraries

    This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...

    https://qubeshub.org/qubesresources/publications/1286/?v=1

  3. Investigating Determinants of Richness in Ephemeral and Permanent Wetlands Using Linear Models in Shiny

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

    By Kristofor Voss

    Regis University

    This resource seeks to provide a quantitative platform by which students can be taught about interactive effects using the TIEE module created by Little (2018). Key to the adaptation is the use of...

    https://qubeshub.org/qubesresources/publications/1018/?v=1

  4. Investigating the effects of urbanization on bird biodiversity: Testing three biodiversity hypotheses using citizen science data

    13 Jun 2018 | Teaching Materials | Contributor(s):

    By Jennifer Kovacs1, Ebony Gaillard2

    1. Spelman College 2. University of North Carolina

    Students generate predictions and test three hypotheses about how biodiversity is affected by urbanization over time using citizen science generated bird count data and land use data from 13...

    https://qubeshub.org/qubesresources/publications/645/?v=1

  5. A Walk Through the Woods

    09 Jan 2018 | Teaching Materials | Contributor(s):

    By Jerome Chave1, David Coomes2, Steven Jansen3, Simon Lewis4, Nathan Swenson5, Amy Zanne6, Gaby Lopez-Gonzales7, J Ilic, RB Miller8, MC Wiemann9, Samantha Swauger10

    1. The Academy of Europe 2. Cambridge University 3. Ulm University 4. University College London 5. University of Maryland 6. The George Washington University 7. University of Leeds 8. University of California, Berkeley 9. University of Florida 10. DryadLab

    Data driven curriculum module from Dryad Digital Repository

    https://qubeshub.org/qubesresources/publications/274/?v=1

  6. Understanding Statistical Power and Significance Testing: An Interactive Visualization

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/abd/collections/visualizing-statistics

  7. Statistical Power and Significance Testing (R Shiny App)

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/abd/collections/visualizing-statistics

  8. Chapter 6: Hypothesis testing

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/abd/collections/chapter-by-chapter-resources

  9. To P or not to P?

    Collections | 29 Apr 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/timeline

  10. Statisticians issue warning over misuse of P values

    Collections | 07 Mar 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/in-the-news

  11. Chapter 6: Hypothesis testing

    Collections | 18 Feb 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/resources-for-whitlock--schluter-book