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    Testing Goodness of Fit with the Chi-Square
    This is a MathBench module written for students to use in a self-study mode. It uses a narrative structure, humor, and everyday examples to step the learner through the mathematical principles...
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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality
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    1-066-USCensusModeling-ModelingScenario
    The United States Census, conducted every 10 years, gives data on the United States population, that can be modeled with the exponential, logistic, or Gompertz functions.
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    The Stomata Lab. What the past can tell us about our future - using fossil and modern plants to model atmospheric carbon dioxide
    Students will develop a mathematical model of the relationship between atmospheric CO2 and the number of stomata on a leaf (Stomata Index). They will evaluate the model graphically, statistically,...
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    Outside the Norm: Using Public Ecology Database Information to Teach Biostatistics
    Biology students’ understanding of statistics is incomplete due to poor integration of these two disciplines. In some cases, students fail to learn statistics at the undergraduate level due...
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    Aging and Circular RNAs
    A science FIT seminar presented to incoming freshmen at UNR
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    Regression: Tree Rings and Measuring Things
    Students develop scatter plots of growth rings by tree diameters and determine the equation of their best fit line.
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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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    Intro videos and terminology for GMOs, Transcription, Translation
    Compiled resources around GMOs and protein production including vocabulary, animations, videos, and games
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    QB@CC Community Standards for Events
    Community standards and expectations for in-person and online events hosted by QB@CC
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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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    Module M.7 Generalized 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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    Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally? This is an adaptation of the module that includes statistical testing and links sections to a lab report...
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    Maternal transmission of microbiome
    Understanding the cascading effects of the transfer of maternal microbiome during a vaginal birth (vs. a c-section) to the well-being of a newborn.
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    Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 2
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    Using Online Materials/Videos to Enrich Linear Algebra for Scientists
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education
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    1984-Marguerite_Hays-Compartmental Models for Human Iodine Metabolism
    Compartmental models for the various aspects of human iodine metabolism are reviewed, emphasizing the role of Mones Berman in the development of this field.
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    Working with plant phenology data and fitting a nonlinear model using least squares in R
    A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.
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    1991-JR_Lobry-P_Flandois-Comparison of Monod's Growth Model Parameters from the Same Data Set
    The paper obtains the parameters in Monod's Growth model using a minimization of the sum of square errors with a given data set and obtains confidence intervals
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    Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE
    We introduce TRACE, a framework for documenting model testing and analysis. TRACE is based on the recently proposed framework of model "evaluation" , and is designed to make models fit for...
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