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    Island biogeography, spatial ecology, and macroinvertebrate species diversity in Richmond’s rock pools
    Students investigate questions of community ecology and biogeography using data from an urban rock pool ecosystem. Using ArcGIS 10, students learn to create effective maps, calculate landscape...

    Keywords: aquatic macroinvertebratesCommunity Ecologyspecies diversityGeographic Information System (GIS)spatial analysisJames River

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    The Chi-Square Test
    This module introduces how to determine whether observation is significantly different from expectation in the context of understanding Chi-square Test. It is intended for an introductory biology...

    Keywords: ProbabilityProbability & StatisticsGenetics and EvolutionStatistical Testing

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    Binomial test
    This lesson focused on introducing students to binomial data analysis and reinforcing concepts of confidence intervals, p-value interpretation, and one- vs two-sided tests.
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    Two-Way ANOVA
    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...

    Keywords: undergraduate researchANOVA

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

    Keywords: aquatic macroinvertebrateslinear regressionhypothesis testingshinywetlands

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    Islands as a Tool for Teaching Ecology and Evolution
    Module for Ecology & Evolution course covering island biogeography principles, The scientific process and hypothesis testing, statistical methods (t-tests, regression), and online database use...

    Keywords: moduleResources @ AIM-UP!species richnessBiodiversityIsland biogeographyAIM-UP

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    Regulation of Sex Determination
    This activity accompanies the HHMI BioInteractive module Sex Verification of Athletes (​https://www.hhmi.org/biointeractive/testing-athletes​). It provides students with exercises to explore the...
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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...

    Keywords: statisticsR programming languagebioinformaticsNIBLSERNAseqgene expressionCourseSourcecomputer programming

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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

    Keywords: quantitative biologybioinformaticsmicrobiologyphysicsNIBLSEHIVCourseSourcemultiplicity of infectionPoisson Distribution

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    A Hands-on Introduction to Hidden Markov Models
    A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.

    Keywords: Markov modelbioinformaticsgenomicsNIBLSEtranscriptionCourseSourceexonintronsplicing

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    Biological Diversity in Wetlands: Applying the Scientific Method
    An introduction to the Scientific Method for Introductory Biology students using plant and animal richness and environmental data from ephemeral ponds and permanent wetlands.

    Keywords: Resources @ ESA - TIEEintroductory biologyscientific methodspecies richnessaquatic ecologyfmnDIGenvironmental variationMicrosoft Excelhabitat permanencyupper level wetland ecology

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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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    Finding Selection in All the Right Places
    Lab introducing students to evolutionary genetics using bioinformatics and biocuration, published as GSA Learning Resource

    Keywords: geneticsbioinformaticssequencingNIBLSE

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    Bioinformatics / Neuroinformatics
    This module is a computer-based introduction to bioinformatics resources.  This easy-to-adopt module weaves together several important bioinformatic tools so students can grasp how each is used in...

    Keywords: bioinformaticsNIBLSEImageJquantitative trait locusQTL

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    The nose knows: How tri-trophic interactions and natural history shape bird foraging behavior. An introduction to statistical analysis in animal behavior research
    Students investigate the role of olfaction and infochemicals on bird foraging behavior through two different quantitative activities where they generate hypotheses, create figures, conduct data...

    Keywords: Resources @ ESA - TIEEforagingfmnanimal behaviorbehavioral ecologyDIGtrophic cascades

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    MathBench: Evolved Immunity for Introductory Environmental Science
    The Evolved Immunity module was the focal module for this lesson. Evolved Immunity was chosen because this module includes content and quantitative elements from a range of lab and lecture topics...
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    50 Years of Data Science
    This paper reviews some ingredients of the current “Data Science moment”, including recent commentary about data science in the popular media, and about how/whether Data Science is really...

    Keywords: statisticsbig datadata sciencemachine learning

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

    Keywords: modulelinear regressioncase studyclimate datamoving averagesin-class activity

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    Java Applets for Power and Sample Size
    This is a Java application that allows you to do power and sample-size calculations for a number of standard statistical models.

    Keywords: statisticspowerstatistical powersample sizeeffect sizestatistical tests

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    Statistics for Biologists
    There 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 late.

    Keywords: statisticsdata analysisexperimental design

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