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    Biostatistical Tools
    This Excel collection of workbooks has tools for: 1. Linear regression through the origin 2. Linear regression not through the origin 3. Polynomial fit 4. A simple chi-square analysis to test...
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    Using Linear Regression Adaptation: Exploring Vector-borne diseases in an online classroom
    In this adaptation students in online classrooms will use linear regression at home and in synchronous online time to analyze real data on vector-borne diseases and explore how environmental...
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    Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases
    In this activity students will use linear regression to analyze real data on vector-borne diseases and explore how environmental factors such as climate change or population density influence the...
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    Modeling Changes in Probability of Presence of Myotis lucifugus Due to White Nose Syndrome: An Introduction to Logistic Regression in R
    In this lesson, students will learn more about the wildlife disease known as white nose syndrome and how it affects certain bat species more than others. Students will learn about the important...
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    Climate Change Module (Project EDDIE) for Introductory Statistics
    Students practice and deepen their understanding of bivariate numerical data analysis (correlation, linear regression, etc.) through working with data related to climate change. Adapted from a...

    Keywords: statistics

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    Exploring the functionality of R
    Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
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    Climate-Induced Shifts in California Butterflies
    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...
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    Striped Bass: A Regulatory Success Story
    This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...
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    Oyster Restoration Success and Water Quality in the James and Rappahannock Rivers of Virginia
    This QUBES lesson uses statistical analysis to test whether or not oyster restoration sites in Virginia are successfully increasing the number of oysters and whether or not water quality is...
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    Aquatic Macroinvertebrates and Urbanization: Exploring urbanization’s effect on leaf litter decomposition in six streams of Puerto Rico using R
    Urbanization effects stream ecosystems by introducing pollutants to the streams.. This has detrimental effects on the life of the streams such as the aquatic macroinvertebrates who are in charge of...
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    The Importance of Street Trees and Urban Avifauna: A lesson exploring the relationship between urban forest and foraging birds
    This module examines the relationship between street trees, urban avifauna, and socioeconomic gradients in the highly urbanized county of Los Angeles, California. Using edited data from a published...
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    Water We Doing: A Deep Dive Into Sustainable Ocean Management & Blue Economies
    This lesson explores the concept of blue economies and includes a detailing lesson in R that involves basic statistics and building complex graphics.
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    Aquatic Nutrient Levels and Climate Change
    This learning module was designed to introduce students to the aquatic nutrients nitrogen and phosphorus, their roles in ecosystem function and nutrient pollution, and what impacts climate change...
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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...
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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...
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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.
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    Phenology Trends and Climate Change in Minnesota (Project EDDIE)
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees. Students can then practice on a species of their own...
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    Computational Biology using R
    This is an introductory level course on computational biology.
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    Phenology Trends and Climate Change in Minnesota (Project EDDIE): A focus on American elm
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees.
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    adaptations