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Exploring Marine Primary Productivity with Descriptive Statistics and Graphing in Excel
02 Sep 2021 | Teaching Materials | Contributor(s):
By Marina McLeod1, Jennifer Olson1, Wendy Houston1
Everett Community College
In this activity, students use real water chemistry data and descriptive statistics in Excel to examine primary productivity in an urban estuary of the Salish Sea. They will consider how actual...
Using Linear Regression Adaptation: Exploring Vector-borne diseases in an online classroom
09 Aug 2021 | Teaching Materials | Contributor(s):
By Darcy Ernst
In this adaptation students in online classrooms will use linear regression at home and in synchronous online time to analyze real data on vector-borne diseases and explore how environmental...
Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests
28 Jul 2021 | Teaching Materials | Contributor(s):
By Alida Janmaat1, Pete Kaslik2, Randall LaRue Moser Jr, Kevin David Simpson, Heather Susanne Zimbler-DeLorenzo3
1. University of the Fraser Valley 2. Pierce College 3. Alfred University
Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and...
Data on Dead Zones and a Scientist Spotlight Featuring Benjamin Negrete, Jr.
27 Jul 2021 | Teaching Materials | Contributor(s):
By Suann Yang1, Benjamin Negrete, Jr.2
1. State University of New York College at Geneseo 2. The University of Texas at Austin, Marine Science Institute
In this lesson, students plot data and interpret graphs of the metabolic responses of fish to hypoxic conditions. Then, students view and reflect on an interview with fish ecophysiologist Benjamin...
Grappling with Graphs: New tools for improving graphing practices among biology students
15 Jul 2021 | Teaching Materials | Contributor(s):
By Stephanie M. Gardner1, Eli Meir2, Joel K Abraham3, Ryan Baker4
1. Purdue University 2. SimBiotic Software 3. California State University, Fullerton 4. University of Pennsylvania
Poster on gathering information about undergraduate biology students' graphing practices and using this information to guide teaching of graph construction. Presented at the 2021 BIOME Institute.
Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
21 Jun 2021 | Teaching Materials | Contributor(s):
By Andrea Huntoon1, John Doudna2, Pallavi Bhale3, Thalita Abrahão4, Alys Hugo5, Jennifer Lyon Adler6
1. Fox Valley Technical College 2. Lansing Community College 3. Montgomery College 4. Georgia State University Perimeter College 5. Everett Community College 6. Maysville Community and Technical College
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.
Fungus Among Us!
03 Apr 2021 | Teaching Materials | Contributor(s):
By Kelly Sturner1, Suzanne Lenhart2, Courtney Patterson3
1. National Institute for Mathematical & Biological Synthesis 2. University of Tennessee 3. Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville
This game introduces the idea of how fungi and plants can work together in a symbiotic relationship.
Graphing bacterial growth rates: semi-log graphs v linear graphs
26 Feb 2021 | Teaching Materials | Contributor(s):
By Adam Marschall Jaros1, Adronisha Frazier2, Beth Alford2, Brandy Williams2
1. Lansing Community College 2. Northshore Technical Community College
In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear...
Big Data, Graphs, and Prediction
17 Feb 2021 | Teaching Materials | Contributor(s):
By Jennifer Lyon Adler1, David Simon2, Emmanuel des-Bordes3, Joseph Esquibel4, mary miller2, Pradip Raj Aryal5, Vickie Flanders2
1. Maysville Community and Technical College 2. Baton Rouge Community College 3. Blue Ridge Community College 4. University of Wisconsin - Madison, Madison College 5. NMSU Carlsbad
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...
Why Cells Change Weight: Demonstrating Linear Regression Through an Osmosis Experiment
10 Feb 2021 | Teaching Materials | Contributor(s):
By Ashley Lamb Galloway1, Stefanie L Holmes1, Ashley Morgan2, Mary Ann Sexton1
1. Roane State Community College 2. Roane State
In this activity, students will perform an experiment utilizing dialysis tubing to create cellular models to demonstrate the linear relationship between cell weight and time in varying tonicities....
Analysis of Amylase Activity
24 Nov 2020 | Teaching Materials | Contributor(s):
By Allison Carter Burlyn1, Christina Fieber1, Melanie Lenahan2
1. Horry-Georgetown Technical College 2. Raritan Valley Community College
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...
Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases
02 Sep 2020 | Teaching Materials | Contributor(s):
By Andy Adams1, Jessica A Adams1, John J. Bray1, Tami Imbierowicz1, Suzanne Lenhart2, Breonna Martin1
1. Harford Community College 2. University of Tennessee
In this activity students will use linear regression to analyze real data on vector-borne diseases and explore how environmental factors such as climate change or population density influence the...
Why does Blood Flow Change? Investigating the Math of Blood Flow Dynamics
15 Jun 2020 | Teaching Materials | Contributor(s):
By Amy Troyer1, Brandi Morgante Handzlik1, Mary Phillips1
Pennsylvania College of Health Sciences
This collection of activities explores the relationship between blood flow, pressure, and the factors of resistance through graphs and modeling direct and inverse variation.
Why are Cells Small? Surface Area to Volume Ratio
30 Apr 2020 | Teaching Materials | Contributor(s):
By John Howard Starnes1, Christianne Baucom Nieuwsma2, Jennifer Glee Buntz3, Sondra Marie LoRe4, Vedham Karpakakunjaram5
1. Southcentral Kentucky Community and Technical College 2. South Mountain Community College 3. Central New Mexico Community College 4. National Institute for STEM Evaluation & Research (NISER) 5. Montgomery College
This module explores surface area to volume ratios in a cube and sphere in relation to cell size.
REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
28 Aug 2019 | Teaching Materials | Contributor(s):
By Jessica Joyner
CUNY Brooklyn College
Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
The Effect of Climate Change on Butterfly Phenology - Intro Environmental Science
01 Jun 2019 | Teaching Materials | Contributor(s):
By Megan Kelly
Arrupe College of Loyola University Chicago
In this module, students practice interpreting the relationship between variables before exploring changes in butterfly phenology through the use of natural history collections data.
Working with Datasets in R swirl
15 May 2019 | Teaching Materials | Contributor(s):
By Caitlin Hicks Pries
The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...
Investigating human impacts on stream ecology: Intro to R
08 May 2019 | Teaching Materials | Contributor(s):
By Kristen Kaczynski
California State University - Chico
This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...
A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
17 Sep 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, R. S. Maxwell1
Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth rates of a...