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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)
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    Do urban yards serve as a refuge for native land snail species?
    This module contains a series of take-home activities to prepare students to analyze their own dataset collected in lab.
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    Analysis of Amylase Activity
    This lab is an exploration of enzyme function and the effects of environmental conditions on the activity of the enzyme amylase. The lab utilizes analytical and graphing skills to assess enzyme...
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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    Demography from physical cemeteries, "virtual cemeteries," and census data
    Laboratory experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 8. Learning objective: Students will learn how to create life tables and survivorship curves using data...
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    Introduction to Data Management, Life History, and Demography
    Learning Goals: • explain importance of data management • identify elements of an organized data sheet • create & manipulate data in a spreadsheet • calculate vital statistics using life...
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    RAT ATTACK! Population growth
    This module contains exercises focused on the use and interpretation of density independent and density dependent population growth models. Students build logistic and exponential growth models in...
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    Demography from physical cemeteries, "virtual cemeteries," and census data
    Laboratory experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 8
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    Data Science Replication of Covid-19 Wastewater Tracking
    Students are asked to use data science skills (such as pivot tables and linear regression) to replicate Covid-19 wastewater monitoring data provided by the CDC NWSS (National Wastewater...
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    Evaluating Local Adaptation and Conservation with Life Tables
    This module contains a sequence of activities designed for an undergraduate ecology lesson on stage-structured population models or life tables that use published data. Two versions are provided:...
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    Obesity - An Epidemic with Unexpected Causes, Consequences, and Complexity
    This dataset was collected from interviews conducted by the Centers for Disease Control and Prevention. State by state data are provided to explore the interactions of education, income, and...
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    bioBUDS: How to Read a Paper
    Undergraduates are often expected to read scientific papers for class and submit assignments based on their understanding of the contents of these papers. Most courses, in our experience as...
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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,...
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    Demography from "virtual cemeteries"
    This module is a modification of the Lanza module in TIEE Volume 8. Rather than requiring students to visit cemeteries outside of class, this modification has students collect data from online...
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    Why are Cells Small? Surface Area to Volume Ratio
    This module explores surface area to volume ratios in a cube and sphere in relation to cell size.
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    Big Data, Graphs, and Prediction
    In this activity, students are introduced to graphing and modeling data in a step-wise fashion. Real data of covid-19 deaths over time are used to incrementally ask students to fit the data to...
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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
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    Visualizing Global CO2 Emissions
    Using CO2 emissions data, students will learn how to visualize data with Tableau Public. The teaching materials are suitable for upper-level undergraduate courses on data analysis and research...
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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    Lake Mixing Module (Project EDDIE)
    Students explore spatial and temporal patterns of lake mixing using high-frequency temperature data from lakes around the world.
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