Data analysis is the formal process of deriving scientific conclusions from quantitative and/or qualitative information collected during a study. In fisheries, sound data analysis is critical for reliable research, high-quality scientific publications, and science-based management. Students are often exposed to analytical procedures in courses (e.g., statistics, biometry, quantitative fisheries science, fisheries population analysis) that prepare them for graduate research, for which statistical acumen is indispensable. Here we review the process of data analysis and offer tips for success.
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Andrew Carlson, M.S. Candidate, South Dakota State University
Kyle Wilson, Ph.D. Student, University of Calgary
Nicholas Cole, Ph.D. Student, University of Nebraska