Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with t-tests or ANOVA) by collecting novel data via image...
Listed in Teaching Materials | resource by group AIMS: Analyzing Images to learn Mathematics and Statistics
The variation among individuals within the same environment is substantial and of primary interest - many times phenotypic plasticity is described in textbooks (or viewed by students) as a light switch, yes or no, affair, whereas professional biologists are much more keenly aware and interested in the variation among individuals. This provides a nice opportunity for students to literally see, measure, and describe variation, a concept that many find opaque. This module can be used to teach elementary statistical concepts, but features enough real-world complexity to allow for much more sophisticated analyses, depending on the course and preparation of the students. Because the context for study comes from a published research article, we also have a great opportunity for students to practice reading the primary literature.
Potential Learning Objectives:
- Students will be able to define phenotypic plasticity.
- Students will practice extracting meaning from published methods section.
- Students will generate meaningful hypotheses, given a context for investigation.
- Students will use image analysis software to generate data from an image set.
- Students will be able to measure, describe, and interpret variation among individuals within and across treatments.
- Students will be able to construct bar charts with standard error bars and frequency histograms.
- Students will calculate and interpret significance tests with categorical treatments.
- Students will interpret covariation among correlated traits (e.g., body size and tail depth).
Cite this work
Researchers should cite this work as follows:
- Jeremy M Wojdak, Justin Touchon (2018). Phenotypic plasticity and predation. AIMS: Analyzing Images to learn Mathematics and Statistics, (Version 2.0). QUBES Educational Resources. doi:10.25334/Q4XX4J
This version includes an updated image database.
AIMS: Analyzing Images to learn Mathematics and Statistics
This publication belongs to the AIMS: Analyzing Images to learn Mathematics and Statistics group.
When watching a resource, you will be notified when a new version is released.