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  1. A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

    24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

  2. A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

    24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

  3. Linear models and linear mixed effects models in R: Tutorial 1

    24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...

  4. Linear models and linear mixed effects models in R: Tutorial 1

    24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...

  5. AIM-UP! Reading scientific literature module

    28 Mar 2015 | Teaching & Reference Material | Contributor(s): Galen Rask

    This resource has been updated - find the current version here: https://qubeshub.org/publications/336Designed to span 4 one-hour lectures, this module focuses upon developing the skill of thorough and critical reading of scientific literature. 

  6. Numbers Count!: Calculus 2 course

    28 Mar 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/751Based upon the University of Minnesota Bachelor's of Science in Health Science calculus curriculum (part 2), this course  introduces linear transformations,...

  7. Numbers Count!: Statistics course

    28 Mar 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/750This course in the Numbers Count! curriculum introduces the basics of statistical analysis, including basic definitions, data visualization, and application. 

  8. Numbers Count!: Statistics course

    28 Mar 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/750This course in the Numbers Count! curriculum introduces the basics of statistical analysis, including basic definitions, data visualization, and application. 

  9. Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps

    25 Mar 2015 | Teaching & Reference Material | Contributor(s): Christopher W. Beck, Judy A. Guinan, Lawrence S. Blumer, Robert W. Matthews

    This resource has been updated - find the current version here: https://qubeshub.org/publications/270Laboratory exercise in which students collect data on parasitoid wasps and fit Lotka-Volterra competition models.  The authors' abstract:"In this investigation,...

  10. MathBench Biology Modules

    13 Mar 2015 | Teaching & Reference Material | Contributor(s): Katerina V. Thompson, Kären C. Nelson, Gili Marbach-Ad, Michael Keller, William F. Fagan, Patricia A. Shields

    Modules designed to help students understand the math behind the material learned in introductory ecology courses. 

  11. BioQUEST: Visual Datasets

    13 Mar 2015 | Teaching & Reference Material | Contributor(s): Ethel Stanley

    This resource has been updated - find the current version here: https://qubeshub.org/publications/345This downloadable module features imaginary animals and plants, and is meant to aid students in thinking about questions of evolution, classification, and phylogeny. 

  12. Measuring the Health of the Earth Using the Theory of Island Biography

    11 Mar 2015 | Teaching & Reference Material | Contributor(s): Jana Eggleston, Stephanie Renee Campau, Farshid Ahrestani, Holly D Gaff

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/868Biodiversity has been shown to be a good measure of the health of the planet system (McGrady-Steed et al. 1997). The more species and genetic diversity, the more stable the...

  13. Statistical Exploration of Climate Data

    11 Mar 2015 | Teaching & Reference Material | Contributor(s): Tamra Carpenter, Robert Vanderbei, Jon Kettenring

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/900Teacher version       Student versionThis module is appropriate for introductory statistics classes.Supporting files: Module figures for...

  14. Carbon Footprint: A Study of Unit and Dimensions

    11 Mar 2015 | Teaching & Reference Material | Contributor(s): Amanda Bonilla, Laura Foster, Rikki Wagstrom, Jean McGivney-Burelle

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/866In this module, we integrate the context of carbon emission and human consumption into an introductory lesson on units and estimation. Background information is provided to...

  15. Modeling Crop Rotation with Discrete Mathematics

    11 Mar 2015 | Teaching & Reference Material | Contributor(s): Jennifer Lorraine Cartier, Kellen Myers, Victoria Ferguson, Yekaterina Voskoboynik

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/864Module Summary: The production of crops is essential to human life. Producing these crops, however, comes with it a cost to the environment. The commonly used agricultural...

  16. Draft Version: Energy Balance Models

    11 Mar 2015 | Teaching & Reference Material | Contributor(s): Daniel Flath, Hans G. Kaper, Frank Wattenberg, Esther Widiasih

    This resource has been updated - find the current version here:  https://qubeshub.org/qubesresources/publications/863This module introduces the student to the process of mathematical modeling. It shows how the process starts in the 4real world! with a...

  17. Java Applets for Power and Sample Size

    10 Mar 2015 | Software (Off-site) | Contributor(s): Russell Lenth

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/899From the website:This software is intended to be useful in planning statistical studies.  It is not intended to be used for analysis of data that have already been...

  18. Workshop Statistics: Discovery with Data, A Bayesian Approach

    25 Feb 2015 | Teaching & Reference Material | Contributor(s): Jim Albert, Allan Rossman

    From the project website " Workshop Statistics:  Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to...

  19. Statistics for biologists

    12 Feb 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/897There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too...

  20. RStudio IDE for R

    22 Jan 2015 | Software (On-site)

    RStudio is a GUI for R, the statistical programming language.