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Course Numbers: OCOR 5603, BCOR 5570

This graduate course will introduce the most commonly used statistical tests and procedures to analyze biological and ecological data. The main objective is to prepare the students to identify the most corrrect statistics to analyze biological data, perform the statistical analysis in R Studio and correctly interpret the results. Lectures will consist of short theoretical presentations followed by a lab where students will do guided exercises in R Studio. Students will be required to do readings prior to the class on the theoretical basis of the theme of the week, and perform unguided exercises (homework) to cement knowledge.

Learning Outcomes:

  • Describe critcal aspects of the data such as scales of measurement
  • Identify if the variables are discrete or continuous
  • Calculate summary statistics.
  • Create appropriate graphs, charts, maps, and tables to represent data.
  • Determine the appropriateness of various statistical tests and procedures for analyzing different types of biological data
  • CAnalyze biological data using the appropriate statistical test(s) in software R
  • Correctly interpret results of statistical analysis
  • Write a grammatically perfect, technically informed, well-structured document with regards to data analysis.*

*These are directly relatred to the Program Learning Outcomes for Marine Biology, Coastal Zone Management, and Marine Environmental Science.

Required Textbooks:

  • Logan, M. (2010) Biostatistical Design and Analysis Using R. Wiley-Blackwell

Suggested Textbooks:

  • Dalgaard, P. (2008). Introductory Statistics with R. (2nd edition). Springer: New York.
  • Crawley, M.J. (2007). The R book. John Wiley & Sons, New York.

Fall 2016 Syllabus

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