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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...
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    Chapter 1: Introduction to R and RStudio
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Chapter 2: Data sampling, accuracy, and precision
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality
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    Graphing grouped continuous data in R with swirl
    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.
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    Conducting Analysis of Variance (ANOVA) in R with swirl
    This lesson offers an introduction to ANOVA, including 1) how this statistical test can be differentiated from others and 2) a step-by-step guide to conducting and interpreting ANOVA results in R,...
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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)
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    Analyzing Nutrient Simulation Experiments with a one-way ANOVA
    We discuss what tests are appropriate to analyze the data from nutrient simulation experiments. They will conduct one-way ANOVAs and a post hoc test using a dummy dataset and interpret the results.
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    Quantitative Modules to Accompany General Biology Courses
    A collection of modules that were developed to accompany general biology courses and allow instructors to add quantitative examples in many of the topics in a standard GB sequence.
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    Investigating human impacts on stream ecology: Intro to R
    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...
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    A CURE in traits and species distributions: Reproductive modes, range sizes, and natural history collections
    This course-based undergraduate research experience (CURE) focuses on developing hypotheses about how traits influence the range sizes of species. Topics with substantive content include symbioses,...
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    How to Grow Specific Cell Lines: Liver Cancer Cell Lines (SNU-423 and Hep-G2)
    General information for growing cell lines. One is a high-grade (fast) cancer the other is a low-grade. Makes for great comparisons within a class setting.
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    BioTA Podcast Working Group Lightning Talk - YouTube
    This lightning talk outlines out work to develop a set of podcasts and in0class activities. The podcast episodes on metagenomics in general are available. Additional resources and additional...
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    Climate Change Module (Project EDDIE): Instructor Implementation
    This details an implementation of the climate change module, where students explore how climate is using data. Produced by Project EDDIE.
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    iDigBio Tutorial - BLUE Resource
    A user guide and video instructions for iDigBio
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    Using Systems Thinking in Introductory Biology Courses
    The Systems Thinking module (Units 1-3) was utilized in two separate introductory biology courses, General Biology II Lab and The Living Environment online course.
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    Introductory Video and worksheets on Module 1 and 2 on "Sequence Similarity: An inquiry based and under the hood..."
    The video walks the students to complete Module 1 and 2 on Sequence Similarly and Alignment adapted from Tapprich (2019) and Hudson Alpha that teaches these modules within the context of the...
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