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    Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests
    Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and...

    Keywords: statisticsmathematicsbiostatisticsecologybiologygraphingp-valuest-testshypothesis testingin-class activityZoologymercury biogeochemistrybiostatistics - generalfish populationqbccBiogeochemical cyclesInterpret graphsSolving Equations and InequalitiesConcepts in StatisticsElementary Hypothesis TestingMethylmercurydamsBioaccumulationtraditional dietsmercurymercury poisoningnative peopleindigenous populationCanadahydroelectricexplaining statisticsusing statisticsMake probability calculations

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    Modified Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests
    Methylmercury contamination within fish populations is an important toxin that affect human, animal, and environmental health, serving as a carcinogen (cancer-causing agent) and endocrine-disruptor...

    Keywords: statisticsmathematicsbiostatisticsecologybiologygraphingp-valuest-testshypothesis testingin-class activityZoologymercury biogeochemistrybiostatistics - generalfish populationqbccEndocrine DisruptorsBiogeochemical cyclesInterpret graphsSolving Equations and InequalitiesConcepts in StatisticsElementary Hypothesis TestingMethylmercurydamsBioaccumulationtraditional dietsmercurymercury poisoningnative peopleindigenous populationCanadahydroelectricexplaining statisticsusing statisticsMake probability calculationsbiomagnification

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    Grassy Narrows and Muskrat Falls Dam: The Central Limit Theorem and a t-test
    Students are introduced to concepts of sampling distributions and hypothesis testing using a simulation applet, elementary hypothesis tests, t-tests, and p-values as they compare a given fish...

    Keywords: statisticsmathematicsbiostatisticsecologybiologygraphingp-valuest-testshypothesis testingin-class activityZoologymercury biogeochemistrybiostatistics - generalfish populationqbccBiogeochemical cyclesInterpret graphsSolving Equations and InequalitiesConcepts in StatisticsElementary Hypothesis TestingMethylmercurydamsBioaccumulationtraditional dietsmercurymercury poisoningnative peopleindigenous populationCanadahydroelectricexplaining statisticsusing statisticsMake probability calculations

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    Using Grassy Narrows in a Live Classroom with Clicker Questions and Interactive Histogram: Sampling Distributions, Probability, and Hypothesis Testing
    Students are introduced to concepts of sampling distributions, p-values, and hypothesis testing. Using both simulated and real data for methylmercury level in fish populations, students will...

    Keywords: statisticsmathematicsbiostatisticsecologybiologygraphingp-valuest-testshypothesis testingin-class activityZoologymercury biogeochemistrybiostatistics - generalfish populationqbccBiogeochemical cyclesInterpret graphsConcepts in StatisticsElementary Hypothesis TestingMethylmercurydamsBioaccumulationtraditional dietsmercurymercury poisoningnative peopleindigenous populationCanadahydroelectricexplaining statisticsusing statisticsMake probability calculations

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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...

    Keywords: biostatisticsecologybiologyR code

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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality

    Keywords: biostatisticsR programming languageSwirl

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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.

    Keywords: biostatisticsR programming languageSwirl

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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,...

    Keywords: biostatisticsR programming languageSwirl

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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)

    Keywords: biostatisticsR programming languageSwirl

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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.

    Keywords: moduleintroductory biologymathmodulesprojectResources @ QUBES - Teaching & Reference

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    Using InTeGrate materials to incorporate sustainability into General Biology II at the University of North Carolina Charlotte
    I incorporated three units from InTeGrate into my General Biology II class. This document outlines how I used these materials, and what modifications I made to them.
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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.

    Keywords: biostatisticsInterdisciplinary STEMR programming languageaquatic ecologylimnologySwirl

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    The Influence of Exotic Plant Invasion on Pollinator Abundance
    This lesson introduces two global change factors, natural habitat loss and exotic plant invasion, and analyzes how these stressors impact the biodiversity and abundance of pollinator species....

    Keywords: statisticsinvasion biologyecologyRStudioBiodiversityInvasive SpeciesPearson correlation coefficientgeneral linear modelsinvasive plantspollinatorsPopulation abundance

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    Biomes lecture with active learning activities and a worksheet set
    Learning Objectives: *Identify the characteristics of each biome *Know the major drivers of global climate patterns *Discern how 2 factors largely determine terrestrial biomes *Evaluate the...

    Keywords: lecture slidesgraphsglobal warmingclimatebiomesConvergent Evolution

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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...

    Keywords: Flipped classroommetagenomics

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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

    Keywords: databasesQuerying databasesdata in the classroombiodiversity informaticsbiodiversity collections

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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...

    Keywords: bioinformaticssequencingFASTANCBINIBLSEalgorithmsBLASTmultiple sequence alignmentsequence similarityBLOSUM scoring matrixCourseSource

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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,...

    Keywords: Evolutionbiostatisticsecologynatural history collectionsSymbiosisspecies distributionsherbariumplant functional traitsLichenReproductive biologyAppalachian mountains

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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

    1955

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