140.616.01
Statistics for Laboratory Scientists II

Location
East Baltimore
Term
4th Term
Department
Biostatistics
Credit(s)
4
Academic Year
2017 - 2018
Instruction Method
TBD
Class Time(s)
M, W, F, 10:30 - 11:20am
Lab Times
Wednesday, 1:30 - 2:20pm (01)
Wednesday, 2:30 - 3:20pm (02)
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Ingo Ruczinski
Contact Name
Ingo Ruczinski
Frequency Schedule
Every Year
Prerequisite

140.615

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.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Conduct a test to compare two population proportions
  2. Identify the appropriate form of analysis of variance for a particular experiment, and calculate and interpret an ANOVA table
  3. Perform simple and multiple linear regression and interpret the results
  4. Identify and assess the appropriateness of the assumptions underlying ANOVA and linear regression
  5. Use the statistical software, R, to display and analyze data
Instructor Consent
No consent required
Special Comments

For the required once a week lab: Students will attend either the Wednesday at 1:30 session (held in one of the School’s computer labs) OR the Wednesday at 2:30 session (held in one of the School’s classrooms).