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Course Catalog


Department: Biostatistics
Term: 4th term
Credits: 4 credits
Contact: Ingo Ruczinski
Academic Year: 2013 - 2014
Course Instructor:

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.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Conduct a test to compare two population proportions
Identify the appropriate form of analysis of variance for a particular experiment, and calculate and interpret an ANOVA table
Perform simple and multiple linear regression and interpret the results
Identify and assess the appropriateness of the assumptions underlying ANOVA and linear regression
Use the statistical software, R, to display and analyze data

Methods of Assessment: Homework assignments, one or two in-class exams
Location: East Baltimore
Class Times:
  • Monday 10:30 - 11:20
  • Wednesday 10:30 - 11:20
  • Friday 10:30 - 11:20
Lab Times:
  • Wednesday 1:30 - 2:20
  • Wednesday 2:30 - 3:20
Enrollment Minimum: 8
Instructor Consent: No consent required


Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Special Comments: Computer labs are 1:30-2:20 and 2:30-3:20.