Students will have the opportunity to learn basic parametric and non-parametric statistical methods to analyze data collected in the field or the laboratory. Students will learn concepts in Statistics I and II at an accelerated pace over the course of 10 weeks. Concepts will include probability, basic summary statistics, and a suite of nonparametric and parametric statistical tests: Student’s t-tests, Analysis of Variance, Linear Regression, Correlation, Advanced ANOVA, classification and regression tree (CART) models, non-metric multidimensional scaling (NMDS) ordinations, and meta-analysis techniques. We will use real data collected in the field and use statistical methods to explore and explain patterns in the data. We will learn to create useful figures and interpret statistical findings.
Students can contact the faculty ( firstname.lastname@example.org ) to take this as a 4-credit “Statistics I/II: Accelerated” (lower division credit) module within the broader program Freshwater Ecology & Aquatic Entomology .
To be successful in this program, students should have a laptop (mac or PC) with reliable internet connection (a chromebook will not be sufficient - contact the faculty with questions). The majority of the work in the program will be asynchronous (meaning you can complete it at your own pace on your own schedule). There will be about two hours of synchronous work (scheduled video conferencing) each week to build community and provide opportunities for students to ask faculty questions and work together on problem-solving. If students find themselves unable to participate in the synchronous meetings due to technology, living situations, care-giving obligations, economic disruption, health risk, or illness, they can work with faculty to pursue alternate options to earn related credit.
Contact the faculty to be enrolled in this 4-credit option within the broader program Freshwater Ecology & Aquatic Entomology . This is a lower division, 4-credit offering.
Ecology, restoration, environmental science, biology, chemistry