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Figure of the Week: Applied Statistics for Wildlife Research

Author(s): Cody Hieu Pham1, Robert E Furrow1

University of California, Davis

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Summary:
Students use their number sense to make observations and explain or guess at patterns shown, discussing at the start of a weekly computer lab. This slide deck focuses on figures related to concepts or methods from college-level introductory applied…

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Students use their number sense to make observations and explain or guess at patterns shown, discussing at the start of a weekly computer lab. This slide deck focuses on figures related to concepts or methods from college-level introductory applied statistics, with a focus on examples related to wildlife biology.

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 16 Jan 2024 doi:10.25334/95CX-G684 - cite this

Adapted from: (Online) Figure of the Week: Skills for Interpreting Comparative Genomics Figures v 1.0

Keywords

  1. statistics
  2. graphs
  3. math anxiety
  4. Wildlife Biology
  5. math attitudes
  6. Interpreting Graphs
  7. sense of belonging
  8. fear of negative evaluation

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Inclusive Pedagogy for Life Science Education
Contents:
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Description

This resource is an adaptation of the QUBES Figure of the Day module by Flemming-Davis and Wodjak (2018). The goal of this module is to provide a repeated student activity that helps students learn to interpret scientific figures in a low-stakes environment. By offering “incomplete” figures that don’t include full axes, captions, and legends, students are free to propose a creative diversity of potential interpretations of the figure. With no single correct answer, students can focus without anxiety on the process of how you use the structure and information types within a figure to put together a potential interpretation. 

Notes

This resource was adapted from an online activity, but this version is designed to be conducted in-person during a weekly computer lab. The slide deck features new figures that are specifically related to methods from introductory statistics, with examples pulled from the field of wildlife biology. Many examples in this slide deck would likely be useful in any introductory statistics course related to biology, but new figures may be desired if a course focuses more on microbiology or other disciplines unrelated to wildlife biology.

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