Skip Navigation

Course Directory

Statistics for Laboratory Scientists I

East Baltimore
3rd term
4 credits
Academic Year:
2022 - 2023
Instruction Method:
Class Times:
  • M W F,  10:30 - 11:20am
Auditors Allowed:
Yes, with instructor consent
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Ingo Ruczinski

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. Includes topics: 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 Objectives:

Upon successfully completing this course, students will be able to:

  1. Create appropriate statistical graphics
  2. Identify flaws in experimental designs and observational studies, and form appropriate simple experimental designs
  3. Explain confounding and identify potential confounding factors in an observational study
  4. Solve simple probability problems
  5. Calculate and interpret confidence intervals for the difference between two populations' means and for a population proportion
  6. Conduct simple tests of statistical hypotheses and calculate and interpret P-values from such tests
  7. Calculate power and minimal sample size for simple experiments
  8. Use the statistical software, R, to display and analyze data
Methods of Assessment:

This course is evaluated as follows:

  • 100% Homework

Instructor Consent:

No consent required

Special Comments:

Computer lab is 1:30-2:20.