140.615.01
Statistics for Laboratory Scientists I

Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2023 - 2024
Instruction Method
In-person
Class Time(s)
M, W, F, 10:30 - 11:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Ingo Ruczinski
Contact Name
Ingo Ruczinski
Frequency Schedule
Every Year
Prerequisite
Description
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.