Data management, analysis and interpretation specifically for bioenvironmental research purposes; development of skills required to draw conclusions from data, specifically the types of data relevant to studying the interface of biological and environmental processes; exploration of the challenges of bioenvironmental data analysis; exposure to and development of skills in presentations that highlight the challenges of successfully communicating results and conclusions that necessarily rest on interpretation and assumptions. ; STAT 201, STAT 302 or STAT 303 Credits 3. 3 Lecture Hours.
Data management, analysis and interpretation specifically for bioenvironmental research purposes; development of skills required to draw conclusions from data, specifically the types of data relevant to studying the interface of biological and environmental processes; exploration of the challenges of bioenvironmental data analysis; exposure to and development of skills in presentations that highlight the challenges of successfully communicating results and conclusions that necessarily rest on interpretation and assumptions. ; STAT 201, STAT 302 or STAT 303 Credits 3. 3 Lecture Hours.
