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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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    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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    What the Mendel
    Students practice hypothesis testing using Mendelian genetics for monohybrid and dihybrid crosses. Both corn and Wisconsin Fast Plants are employed.

    Keywords: geneticsplantsmendelian inheritancephenotypecotelydoncornWisconsin fast plants

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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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    Investigating the effects of urbanization on bird biodiversity: Testing three biodiversity hypotheses using citizen science data
    Students generate predictions and test three hypotheses about how biodiversity is affected by urbanization over time using citizen science generated bird count data and land use data from 13...

    Keywords: hypothesis testingBiodiversityurbanizationguided inquiryland useproductivity hypothesisecosystem stress hypothesisintermediate disturbance hypothesis

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    GSD QUBES Resource Draft (1)
    This QUBES module is focused towards AP Environmental studies courses. It includes hypothesis testing, transect sampling, Shannon Diversity Index, and scatter plot and bar graph creation in excel.

    Keywords: Community EcologyField researchspidersMicrosoft ExcelShannon diversity index

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    AVIDA exercise on the role of mutation in evolution
    A tested exercise at the college freshmen level using AVIDA-Ed to generate and test a hypothesis about the relationship between mutation rate and the probability of evolving a useful function in...
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    Food, Energy and Water Learning Modules (FEWLM) Workbooks
    FEWLM is a low-cost inquiry-based interdisciplinary STEM prototypical curriculum built on Next Generation Science Standards, systems thinking and informed engineering design pedagogy.

    Keywords: K-12inquiry-based learningNext Generation Science StandardsSystem Thinking

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    Ground Spider Survey QUBES Resource Draft (1)
    This QUBES Module aims to introduce students to standardized ecological field methods, measures of diversity, ArcGIS Online, and Excel. This is achieved through nocturnal survey of ground spiders.

    Keywords: Community EcologyspidersMicrosoft ExcelShannon diversity index

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    Phenotypic plasticity and predation
    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    Keywords: RExcelimage analysisgraphingt-testsfrequency histogramsdata visualizationANOVAhypothesis formulationpredator-prey interactionsphenotypic plasticity

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    Leaf cutter ant foraging
    This module introduces students to leaf-cutter ants in the rainforests of Panama. Students derive their own research hypotheses regarding ant foraging or allometric scaling relationships.

    Keywords: leaf cutter antsforagingallometrylinear regressiongraphingdata visualizationResources @ AIMSbody size

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    Inquiry-based hypothesis testing using phylogenetic trees in MEGA
    A key learning objective in biology is applying bioinformatics tools to test a real-life question. These inquiry-based modules have students assemble and align data, and construct simple...

    Keywords: phylogeneticsbioinformaticsFASTANCBIBLASTmultiple sequence alignmentsequence similarityCourseSourceZika virusMEGAalcohol metabolism

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    Environmental Pollution & Public Health (Project EDDIE)
    Environmental health is a field of study within public health that is concerned with human-environment interactions, and specifically, how the environment influences public well-being. In this...

    Keywords: public healthProject EDDIEpollution

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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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    Introductory Data Science Pipeline Activity – Yellow Fever and Global Precipitation
    Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average...

    Keywords: graphinghypothesis testingdata scienceData-based inquiry in the classroomglobal healthdata science educationyellow fever

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    Hypoxia: A Case Study in R
    Aquatic ecosystems are home to a complex intersection of physical and biological factors and an intersection of natural and anthropogenic factors. In the Chesapeake Bay, low oxygen events have...

    Keywords: data analysisOceanographyProject EDDIE

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    Modification of "Exploring the population dynamics of wintering bald eagles through long-term data" module
    This module is a modification of the Beckstead et al. module in TIEE Volume 7. It includes a meta-cognition based model and self reflection, no statistics, and is organized to be done in 1-2...

    Keywords: Resources @ ESA - TIEEcase studypopulation ecologyendangered speciesconservation biologymigration ecology

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    Sampling Distributions and Null Distributions: two swirl lessons in R
    There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a...

    Keywords: The Analysis of Biological Datateaching with technologySwirl

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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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