STAT 7: Statistical Methods for the Biological, Environmental, and Health Sciences

Author

Dr. Marcela Alfaro CΓ³rdoba

πŸ“‘ Course Brief

Focus: the focus of this course is to learn how to apply statistical thinking to solve problems related to descriptive and inferential statistics.

How: lots of active learning! This means that we will have lectures with active learning embedded, with homeworks, and worksheets during discussion sections.

🎯 Learning Objectives

By the end of the course, students should be able to:

  1. Apply descriptive statistical methods to summarize and interpret data sets, enhancing data interpretation skills.
  2. Describe experimental designs used to address specific research questions.
  3. Calculate and interpret probabilities to assess the likelihood of outcomes in real-world applications.
  4. Use interval estimation and hypothesis testing to evaluate biological and health data, fostering statistical reasoning in decision-making processes related to scientific research.
  5. Analyze one- and two-sample problems in experimental studies, determining the significance of findings through appropriate statistical methods and data interpretation.
  6. Assess power and calculate sample sizes necessary for scientific studies.
  7. Apply simple correlation and simple linear regression to evaluate relationships between variables, emphasizing statistical reasoning and interpretation of results.
  8. Conduct one-way analysis of variance (ANOVA) to compare multiple groups.
  9. Interpret and analyze categorical data, applying appropriate statistical tests to make evidence-based conclusions.

Acknowledgements

I’m grateful to several talented people who helped make this course webpage possible. Danielle Navarro created the beautiful aRt featured in our banner and throughout various slides. Allison Horst designed the fun webpage icon and other images you’ll see in our presentations. Jon Cardoso developed the elegant template that powers our course webpage, and Markus Eger generously provided guidance in adapting Jon’s template for our needs.

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