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  • Created 08 Oct 2021

Selected Modules

These are the selected modules for this Faculty Mentoring Network (FMN). During the Spring 2022 semester, participants will adapt and implement portions from two of the following into their classrooms. These modules cover a range of topics, so please select the activities that will fit best into your course curriculum.

Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests

Alida Janmaat, Pete Kaslik, Randall LaRue Moser Jr, Kevin David Simpson, Heather Susanne Zimbler-DeLorenzo

Version: 1.0

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 hypothetical data) against real-world mercury standards.
Published on 07.2021
1.6K Views
1.3K Downloads
3 Adaptations
statistics, mathematics, biostatistics, ecology, biology, graphing, p-values, t-tests, hypothesis testing, in-class activity, Zoology, mercury biogeochemistry, biostatistics - general, fish population, qbcc, Biogeochemical cycles, Interpret graphs, Solving Equations and Inequalities, Concepts in Statistics, Elementary Hypothesis Testing, Methylmercury, dams, Bioaccumulation, traditional diets, mercury, mercury poisoning, native people, indigenous population, Canada, hydroelectric, explaining statistics, using statistics

Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.

Andrea Huntoon, John Doudna, Pallavi Bhale, Thalita Abrahão, Alys Hugo, Jennifer Lyon Adler

Version: 1.0

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.
Published on 06.2021
2.3K Views
1.3K Downloads
0 Adaptations
Querying databases, graphing, Ratios, data types, statistical learning, correlation, Box Plots, qbcc, health sciences education research, nutrition & food science, Understanding rates, Create graphs, Interpret graphs, interpret tables, Health Science, Concepts in Statistics, explaining statistics, using statistics

Graphing bacterial growth rates: semi-log graphs v linear graphs

Adam Marschall Jaros, Adronisha Frazier, Beth Alford, Brandy Williams

Version: 1.0

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 graphs to plot bacterial cell growth.
Published on 02.2021
2.5K Views
1.7K Downloads
1 Adaptations
graphing, exponential growth, Microbiology Education, microbiology, bacteria, growth rate, Undergraduate STEM education, Community College Education, qbcc, manipulate equations, Cellular and Molecular Biology, Create graphs, Interpret graphs, binary fission, semi-log graph, linear graph, growth curve, creating graphs

Why Cells Change Weight: Demonstrating Linear Regression Through an Osmosis Experiment

Ashley Lamb Galloway, Stefanie L Holmes, Ashley Morgan, Mary Ann Sexton

Version: 1.0

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. Videos and data sets (of faculty results) are provided for
Published on 02.2021
1.4K Views
1.1K Downloads
0 Adaptations
graphing, qbcc, Cellular and Molecular Biology, Interpret graphs, Concepts in Statistics

Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases

Andy Adams, Jessica A Adams, John J. Bray, Tami Imbierowicz, Suzanne Lenhart, Breonna Martin

Version: 1.0

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 transmission of these diseases.
Published on 09.2020
2.4K Views
4.2K Downloads
1 Adaptations
ecology, graphing, microbiology, qbcc, Understanding rates, Create graphs, Interpret graphs, interpret tables, Concepts in Statistics