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    3-100-Ripcord-Toys-ModelingScenario
    This modeling scenario examines the motion of a ripcord-powered toy with the goal of using real data to estimate parameters in a first-order model of the velocity of the toy. Students may conduct...
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    2010-Brian_Winkel-Parameter estimates in differential equation models for chemical kinetics
    We discuss the need for devoting time in differential equations courses to modelling and the completion of the modelling process with efforts to estimate the parameters in the models using data.
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    1-125-DiceyPopulation-ModelingScenario
    We offer students an opportunity to generate data for their team on a death and immigration model using 12 and 20 sided dice and then pass on the data to another student team for analysis with a...
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    HSI - Student Research Journal - Vol.2 Issue 1 - Spring 2021
    The Headwaters Research Experience students have produced some fascinating research throughout our 10-week program. We encourage all to read their reports in our Vol. 2 - Issue 1 - Spring 2021...
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    HSI - Student Research Journal - Vol.1 Issue 2 - Fall 2020 v.1.0
    The Headwaters Research Experience students have produced some fascinating research throughout our 10-week program. We encourage all to read their reports in our Vol. 1 - Issue 2 - Fall 2020...
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    3-015-StyrofoamBallFall-ModelingScenario
    We are given data on a falling Styrofoam ball and we seek to model this motion.
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    7-008-MachineReplacement-ModelingScenario
    Students build an integro-differential equation model using a convolution for machine replacement strategies for two different machine failure models.
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    Experiencing the Inclusive STEM Teaching Project through BioQUEST Learning Communities
    Poster presented at the Gordon UBER Conference in June 2023
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    Author Guidelines
    These Author Guidelines are designed to assist module authors throughout this participatory process of creating a new OCELOTS module or adapting an existing one.
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    Manuscript 101: A Data-Driven Writing Exercise for Beginning Scientists
    Learning to write a scientific manuscript is one of the most important and rewarding scientific training experiences, yet most young scientists only embark on this experience relatively late in...
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    1988-EY_Rodin-N_Taber-Yeast Growth Modelling in a Laboratory
    Modeling simple growth with some missing data and doing linear regression for parameter estimation in closed form solution of differential equation model and data.
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    Slides for Revealing Hidden Figures within Natural History Collections Through Data Sleuthing
    Slides in powerpoint form for the Revealing Hidden Figures within Natural History Collections Through Data Sleuthing workshop

    Keywords: lecture slides

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    1-128-RocketFlight-ModelingScenario
    We offer an opportunity to build a mathematical model using Newton's Second Law of Motion and a Free Body Diagram to analyze the forces acting on the rocket of changing mass in its upward flight...
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    Ferns are Everywhere
    Using spatial fern population data in hypothesis testing
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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network
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    Investigating Primary Productivity
    In this 3-part investigation, students discuss, make predictions, and work with data about global scale net primary productivity.
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    Wellesley College Study Packet for the Quantitative Reasoning Assessment
    This packet contains a set of 24 practice questions and 2 full-length practice assessments for the Quantitative Reasoning Assessment for Wellesley College.
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    Spreadsheet Tutorial 2 - Autofill Data, Cell References, and Standard Deviation
    Generate a table with autofill, and use absolute cell reference to calculate variance and standard deviation.
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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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    BioBayes
    The BioBayes module leads the user through several different methodologies for applying Bayesian probabilities to real life examples and problems, such as HIV and cystic fibrosis screening.
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