140.615.01
Statistics for Laboratory Scientists I
 Location:
 East Baltimore
 Term:
 3rd term
 Department:
 Biostatistics
 Credits:
 4 credits
 Academic Year:
 2022  2023
 Instruction Method:
 Inperson
 Class Times:

 M W F, 10:30  11:20am
 Auditors Allowed:
 Yes, with instructor consent
 Undergrads Allowed:
 Yes
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructor:
 Contact:
 Ingo Ruczinski
 Resources:
 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 twoway 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:
 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 Pvalues 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:
This course is evaluated as follows:
 100% Homework
 Instructor Consent:
No consent required
 Special Comments:
Computer lab is 1:302:20.