STATISTICS FOR LABORATORY SCIENTISTS I Syllabus
Course Learning Objectives
Upon successfully completing this course, students will be able to:
- Create appropriate statistical graphics
- Identify flaws in experimental designs and observational studies, and form appropriate simple experimental designs
- Explain confounding and identify potential confounding factors in an observational study
- Solve simple probability problems
- Calculate and interpret confidence intervals for the difference between two populations' means and for a population proportion
- conduct simple tests of statistical hypotheses and calculate and interpret P-values from such tests
- Calculate power and minimal sample size for simple experiments
- Use the statistical software, R, to display and analyze data
Introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters, estimates, and the use of confidence intervals and hypothesis tests. Topics include experimental design, linear regression, the analysis of two-way tables, and sample size and power calculations. Introduces and employs the freely available statistical software, R, to explore and analyze data.
Laboratory science students in BMB, EHS, MMI, and IH (nutrition)
Methods of Assessment
Grading Policy: Homework assignments, one or two in-class exams
Grading Restrictions: Letter grade
Academic Ethics Code
The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support Services
If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services: firstname.lastname@example.org, 410-955-3034, or 2017 E. Monument Street.