Document Type

Syllabus

Publication Date

Fall 2023

Course Description

This course is designed as an introduction to the theories and techniques relating to probability, statistics and data analysis as pertaining to biological and health sciences. Discrete and continuous probability distributions are studied including binomial, normal and t-distributions and descriptive statistics. More advanced and widely used methods will be introduced, including, but not limited to, regression and correlation, and analysis of variance. SPSS software will be introduced and used in the laboratory activities. We will also explore STATDISK designed for use with the course textbook. At the end of the course, students will be able to analyze real data sets, interpret results and provide quantitative evidence to support scientific conclusions.

Student Outcomes

Student Outcomes Students will be able to:

  • Apply the principles and techniques of hypothesis testing and statistical analysis to solve problems in the biological and health sciences.
  • Describe how to use appropriate statistical procedure and tools in the biology or health sciences environment.
  • Evaluate ethical implications involving statistical inquiry, including study design, data collection, and data analysis.
  • Develop skills in conducting research in biology or other fields based on solid foundation of statistical processes.
  • Communicate output from statistical software, draw appropriate inferences, and report or share results effectively in appropriate numerical and graphical forms.

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