Tags: data analysis

Resources (41-60 of 61)

  1. Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics

    03 Dec 2021 | Teaching Materials | Contributor(s):

    By Irene Corriette1, Beatriz Gonzalez1, Daniela Kitanska2, Henriette Mozsolits2, Sheela Vemu3

    1. Santa Fe College 2. Passaic County Community College 3. Waubonsee Community College

    Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The...

    https://qubeshub.org/publications/2811/?v=1

  2. Microbiology Data Problems 2023

    22 Feb 2023 | Teaching Materials | Contributor(s):

    By Charles E Deutch

    Microbion Research

    This project focuses on the use of data analysis problems to introduce students to specific topics in microbiology and to give them practice in the interpretation of figures and tables of data....

    https://qubeshub.org/publications/3693/?v=1

  3. Modeling Soil Fluxes with NEON Data

    06 May 2024 | Teaching Materials | Contributor(s):

    By John Zobitz

    Augsburg College

    This activity is an exploratory activity to understand rates of change of soil carbon dioxide in different ecosystems using data provided by the National Ecological Observatory Network (NEON,...

    https://qubeshub.org/publications/4774/?v=1

  4. Modeling the Research Process: Authentic human physiology research in a large non-majors course

    20 Aug 2021 | Teaching Materials | Contributor(s):

    By Anna K. Strain1, Mary A. Williams1, Jane Phillips1

    University of Minnesota

    Laboratory experiences in large-enrollment introductory science courses often utilize “cookie-cutter style” laboratory experiences due to the relative simplicity of setting up the lab...

    https://qubeshub.org/publications/2516/?v=1

  5. Modernizing Statistics Education via Biology Applications

    03 Jan 2018 | Teaching Materials | Contributor(s):

    By Olcay Ackman

    Illinois State University

    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education

    https://qubeshub.org/publications/254/?v=1

  6. Online Adaptation to "Gotcha! Which fly trap is the best? An introduction to experimental data collection and analysis"

    30 Aug 2021 | Teaching Materials | Contributor(s):

    By Jenna Daypuk1, Michelle G. Eng1, Ian Black1, Danica Levesque2, Jesse Petahtegoose1, Mitchell Slobodian1, Athena Wallis1, Joël Dickinson1, Thomas J.S. Merritt*1

    1. Laurentian University 2. École Secondaire du Sacré-Coeur

    We present here a simple and engaging experiment capitalizing on the universal need to rid our homes of fruit flies to teach experimental design and analysis. In an earlier paper, we described an...

    https://qubeshub.org/publications/2716/?v=1

  7. Pesticides in My Smoothie Bowl?

    21 Aug 2022 | Teaching Materials | Contributor(s):

    By Shuangying Yu*1, Scott M. Weir2

    1. Central Piedmont Community College 2. Queens University of Charlotte

    Teaching resources, especially active learning pedagogy, are scarce for toxicology compared to what is available for other disciplines. Ecological and human health risk assessment are...

    https://qubeshub.org/publications/3461/?v=1

  8. Processes that Regulate Patterns of Species and Genetic Diversity - Intro Environmental Science

    01 Jun 2019 | Teaching Materials | Contributor(s):

    By Megan Kelly

    Arrupe College of Loyola University Chicago

    This activity was adapted for use in an intro non-majors Environmental Science course, with an emphasis on collaborative data collection.

    https://qubeshub.org/publications/1267/?v=1

  9. REMNet Tutorial, Excel Part 1: Accessing Your Microbiome Data 5.3.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jimiane Ashe

    Video on accessing microbiome data from the Research Experiences in Microbiomes Network

    https://qubeshub.org/publications/1303/?v=1

  10. 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

    https://qubeshub.org/publications/1314/?v=1

  11. Sexual Dimorphism CURE: Exploring Melanized Wing Patterns of Pieridae Butterflies

    18 Aug 2022 | Teaching Materials | Contributor(s):

    By Paula A Trillo1, Elissa Suphapun Sorojsrisom2, Carly N. Jordan3, Janice L. Krumm4

    1. Gettysburg College 2. Columbia University 3. George Washington University 4. Widener University

    Teach a Course-based Undergraduate Research Experience (CURE) using digitized natural history collections data to test hypotheses on sexually dimorphic wing melanization patterns of Pieris rapae...

    https://qubeshub.org/publications/3250/?v=1

  12. Statistics for Biologists

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Magdalena Skipper1, Ritu Dhand1, Helen Pearson1, Francesca Cesari1

    Nature

    There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.

    https://qubeshub.org/publications/897/?v=1

  13. Staying Alive: Extinction Risk: Introduction to Extinction and Extinction Bias

    09 Jan 2018 | Teaching Materials | Contributor(s):

    By Samantha Price1, Peggy Schaeffer2, Anna Thanukos3, Samantha Swauger2

    1. University of California, Davis 2. DryadLab 3. University of California Museum of Paleontology

    Data driven curriculum module from Dryad Digital Repository

    https://qubeshub.org/publications/275/?v=1

  14. Teaching Biodiversity with Museum Specimens in an Inquiry-Based Lab

    29 Aug 2021 | Teaching Materials | Contributor(s):

    By Lisa L. Walsh*†1, Cynthia J. Giffen†1, Cody W. Thompson1

    University of Michigan

    In response to the growth of biology datasets and broad efforts to digitize data, an increasingly important skill for science students is the management and analysis of large datasets. We designed...

    https://qubeshub.org/publications/2735/?v=1

  15. Teaching R with Swirl

    19 Jun 2018 | Teaching Materials | Contributor(s):

    By Paige Parry

    George Fox University

    Session presentation on using Swirl, an interactive platform for learning and teaching R in the R console

    https://qubeshub.org/publications/664/?v=1

  16. The Edge Effect

    03 May 2023 | Teaching Materials | Contributor(s):

    By Sean McNamara1, Kiersten Newtoff2, Kelly Livernoche2, Allison Bell, Jeff Leips3, Gina Wesley2, William Gretes4

    1. Community College of Baltimore County 2. Montgomery College 3. University of Maryland Baltimore County 4. Howard Community College

    This module has students venturing outdoors to take a 50m transect and collect abundance data on plants utilizing quadrats in both edge and interior environment. Mathematically the goals of this...

    https://qubeshub.org/publications/4292/?v=1

  17. The Mystery of the Missing Martens

    12 Nov 2018 | Teaching Materials | Contributor(s):

    By Elizabeth A. Flaherty1, Carolyn A. Eckrich2, Merav Ben-David2

    1. Purdue University 2. University of Wyoming

    National Center for Case Study Teaching in Science- this interrupted case study introduces basic modeling to investigate a decline in an American marten population on an island in Southeast Alaska.

    https://qubeshub.org/publications/927/?v=1

  18. Tools: New tools for new science

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Harry Shum

    Microsoft

    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.

    https://qubeshub.org/publications/891/?v=1

  19. Writing Clean Code in R Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Max Joseph1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    https://qubeshub.org/publications/1442/?v=1

  20. Yeast Cell Growth

    09 Sep 2019 | Teaching Materials | Contributor(s):

    By Claudia Neuhauser

    University of Houston

    Numbers Count resource using Excel for data analysis

    https://qubeshub.org/publications/755/?v=2