STSCI 5150

Last Updated

  • Schedule of Classes - February 7, 2022 11:35AM EST
  • Course Catalog - January 18, 2022 1:31PM EST

STSCI 5150
Introductory Statistics for Biology

Course information provided by the Courses of Study 2021-2022.

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using R. Topics include graphical display, populations and sampling, probability distributions, expectation and variance, estimation, testing, correlation, regression, contingency tables, and the design of experiments. Emphasis is on concepts and the careful modeling of biological data, so that statistical methods are applied properly, pitfalls are avoided, and sound conclusions are reached.

When Offered Fall, Spring.

Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, BTRY 3010, BTRY 6010, ENGRD 2700, HADM 2010, ILRST 2100, ILRST 6100, MATH 1710, PAM 2100, PAM 2101, PSYCH 2500, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200, STSCI 5150.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 2150

  • 4 Credits Stdnt Opt

  • 18598 STSCI 5150   LEC 001

  •  

  • Instruction Mode: In Person

  • 18599 STSCI 5150   LAB 401

  •  
    • R Upson Hall 225
    • Jan 24 - May 10, 2022

    • Smith, M

  • Instruction Mode: In Person

  • 18600 STSCI 5150   LAB 402

  •  
    • R Upson Hall 225
    • Jan 24 - May 10, 2022

    • Smith, M

  • Instruction Mode: In Person

  • 18601 STSCI 5150   LAB 403

  •  
    • F Upson Hall 225
    • Jan 24 - May 10, 2022

    • Smith, M

  • Instruction Mode: In Person

  • 18602 STSCI 5150   LAB 404

  •  
    • F Upson Hall 225
    • Jan 24 - May 10, 2022

    • Smith, M

  • Instruction Mode: In Person

  • 18603 STSCI 5150   LAB 405

  •  
    • F Upson Hall 225
    • Jan 24 - May 10, 2022

    • Smith, M

  • Instruction Mode: In Person