Related Experiment Video
Updated: May 29, 2026

Using Whole Mount in situ Hybridization to Link Molecular and Organismal Biology
Published on: March 31, 2011
Teaching biology through statistics: application of statistical methods in genetics and zoology courses
Migdalisel Colon-Berlingeri1, Patricia A Burrowes
1Department of Biology, University of Puerto Rico, San Juan. lisycolonberlingeri@yahoo.com
Abstract:
Incorporation of mathematics into biology curricula is critical to underscore for undergraduate students the relevance of mathematics to most fields of biology and the usefulness of developing quantitative process skills demanded in modern biology. At our institution, we have made significant changes to better integrate mathematics into the undergraduate biology curriculum. The curricular revision included changes in the suggested course sequence, addition of statistics and precalculus as prerequisites to core science courses, and incorporating interdisciplinary (math-biology) learning activities in genetics and zoology courses. In this article, we describe the activities developed for these two courses and the assessment tools used to measure the learning that took place with respect to biology and statistics. We distinguished the effectiveness of these learning opportunities in helping students improve their understanding of the math and statistical concepts addressed and, more importantly, their ability to apply them to solve a biological problem. We also identified areas that need emphasis in both biology and mathematics courses. In light of our observations, we recommend best practices that biology and mathematics academic departments can implement to train undergraduates for the demands of modern biology.
Related Concept Videos
Overview of Biostatistics in Health Sciences
Introduction to Statistics
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
Biostatistics: Overview
Discrete variables are...
Statistical Methods for Analyzing Epidemiological Data
Applications of Molecular Taxonomy
Statistical Software for Data Analysis and Clinical Trials

