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Statistics for Laboratory Scientists II

East Baltimore
4th term
4 credits
Academic Year:
2017 - 2018
Instruction Method:
Class Times:
  • 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
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. 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
Methods of Assessment:

Homework & data analysis (100%)

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).