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    Spreadsheet Tutorial 4: t-Test
    Calculate t-values and perform t-tests using built-in functions.
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    Chapter 8: Comparing two means: the t-test
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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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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    The Ames Test
    Introduction to the Ames Test, published as GSA Learning Resource
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    Ferns are Everywhere
    Using spatial fern population data in hypothesis testing
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    Basic Statistics
    The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
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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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    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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    Population Demography in Swirl
    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
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    Inquiry-based hypothesis testing using phylogenetic trees in MEGA
    A key learning objective in biology is applying bioinformatics tools to test a real-life question. These inquiry-based modules have students assemble and align data, and construct simple...
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    Sampling Distributions and Null Distributions: two swirl lessons in R
    There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a...
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    Assessing River Herring Migration Using Nonparametric Analysis
    In this lesson, users will play the role of a fisheries biologist by tackling a contemporary fisheries research problem by performing data normality tests, data transformations, nonparametric...
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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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    Calling Bullshit DCS 105 Bates College Data Visualization Activity Slides
    This is a slide deck containing all in-class data visualization activity slides for the course DCS 105 - Calling Bullshit at Bates College.
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    Using Regression Models to Examine the Effect of Carbon Dioxide on Fluid pH
    In this activity students will use statistics and regression models to explore the effects of carbon dioxide on blood pH by measuring pH changes that occur over time as carbon dioxide reacts with...
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    Impact of Warming on Tidal Wetlands
    This lesson uses a t-test and ANOVA to determine if higher temperatures will have a significant impact on change in mangrove height, change in belowground biomass, and change in surface elevation...
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    Lichens in Your Local Landscape
    This project uses Lichens to connect students with their local environmental air quality. Through a short lab session, students assess lichens growing on trees on their campus. They then use class...
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    Intro to Data Types and Graphing Lab
    This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...
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    Comparing Primary and Secondary Forest in a Preserve in Plano Texas: A Forest Ecology Course-based Undergraduate Research Experience (CURE) for Non-Majors and Lower-Level Majors
    An activity that can be conducted as an online or field exercise in which students develop and test their hypotheses about how forest stand characteristics differ between two forest types.
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    Teacher Guide: Math and Statistics
    Topics include measures of average (mean, median, and mode), variability (range and standard deviation), uncertainty (standard error and 95% confidence interval), Chi-square analysis, student...
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