# 140.615.01 STATISTICS FOR LABORATORY SCIENTISTS I

Department:
Term: 3rd term
Credits: 4 credits
Contact: Ingo Ruczinski
Course Instructor:
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. 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.

Old Learning Objective:

Upon successful completion of 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.

New Learning Objective(s):
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

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