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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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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...
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    Cell Cycle and Mitosis
    This module introduces activities that allow students to walk through the cell cycle and mitotic cell division processes. As part of the activities, students learn about and apply knowledge of...
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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...
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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.
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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.3 Visualizing data with ggplot2
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.2 Descriptive statistics
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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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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    Quantifying Bacterial Growth in the Guts and Hemolymph of Fruit Flies: Mathematical Modeling and Data Interpolation/Extrapolation
    In this activity, students will analyze raw data obtained from an experiment that explores the effect of overexpressing the Ssk protein in order to strengthen the intestinal barrier and prevent...
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    Riverbird distributions and habitat use
    Riverbirds are widespread, use diverse riparian habitats, and respond rapidly to changing conditions. Students can apply riverbird data to evaluate hypotheses about these responses, while gaining...
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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...
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    Using Nanoparticles to Treat Cancer Scientist Spotlight
    Students use published scientific data to determine which types of nanoparticles would be best to use to deliver cytotoxic drugs directly to cancer cells. Then they learn about the scientist who...
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    Statistics Overview
    A Numbers Count statistics diagram
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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...
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    Applying phylogenetic tree building in MEGA X to forensic applications for identifying unknown specimens
    This exercise is designed to guide a learner through the construction of phylogenetic trees as a means of addressing research questions in forensic science such as the identification of previously...
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    Ferns are Everywhere
    Using spatial fern population data in hypothesis testing
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    Yeast Cell Growth
    Numbers Count resource using Excel for data analysis
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