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    Atmospheric Carbon Dioxide Data Analysis - Draft (1)
    Students will be able to analyze real data to review basic statistics. Students will be able to work as a group to determine the best way to present their data.
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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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    Math Bench Probability and Statistics: Basic Rules of Probability
    MathBench resource covering the "Law of Or" and the "Law of And" and how to use them in an online setting
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    Allele and Phenotype Frequencies in Rock Pocket Mouse Populations
    A lesson that uses real rock pocket mouse data collected by Dr. Michael Nachman and his colleagues to illustrate the Hardy-Weinberg principle.
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    Teaching Notes for Implementation of Gene Expression in Stem Cells
    Teaching notes for implementing Data Nugget: Gene Expression in Stem Cells in a introductory biology lab.
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    Tutorial Combination and Assessment
    The tutorial adaptation specifically addresses data types (i.e., numeric versus categorical variables) and the types of graphs that are used to summarize the different data types.
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    Spreadsheet Data Analysis Tutorial Series
    This series of self-paced tutorials show how to analyze data using a spreadsheet program.
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    Spreadsheet Tutorial 1 -- Formulae, Functions, and Averages | HHMI BioInteractive
    This introduction to spreadsheet programs describes the basic organization of a worksheet, how to organize and format your data, how to perform simple mathematical calculations, how to use built-in...
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    A Framework for Modeling to Encourage Interdisciplinary Conversations
    Presentation given as part of a minisymposium at SIAM 2016 on interdisciplinary approaches to modeling.
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    2006-Graves-Peckham-Pastor-2D differential equations model for mutualism
    We develop from basic principles a two-species differential equations model which exhibits mutualistic population interactions.
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    Ecological Forecasting Repository of Online Educational Resources
    This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.
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    Investigating human impacts on Southeastern US stream ecology using R
    Adaptation of the "Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast" specifically to focus on self-paced R code instruction
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    Chi-squared test of independence between two categorical variables
    In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
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    Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle physics concepts
    Lesson on what it means for biological processes to be Poissonian, published in CourseSource
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    An Introduction to Statistical Learning: with Applications in R
    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
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    Project MOSAIC
    Our goal: Provide a broader approach to quantitative studies that provides better support for work in science and technology.
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    Two themes, one talk: Distributing quantitative faculty expertise to classrooms that need it in real-time & measuring professional contributions to undergraduate education
    Presentation given at the Seventh International Symposium on Biomathematics and Ecology: Education and Research 2014, Claremont, CA. Discussing quantitative biology education.
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    Outside the Norm: Using Public Ecology Database Information to Teach Biostatistics
    Biology students’ understanding of statistics is incomplete due to poor integration of these two disciplines. In some cases, students fail to learn statistics at the undergraduate level due...
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    Exploring Health Inequities and Redlining
    For this assignment, students will investigate relationships between historic redlining data and modern statistics of human health.
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