STSCI 5150

STSCI 5150

Course information provided by the Courses of Study 2022-2023.

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

  • 10200 STSCI 5150   LEC 001

  • Instruction Mode: In Person
    A student cannot receive credit for this course and for SOC 3010, PSYCH 3500, ENGRD 2700, ILRST 2100, PAM 2100, AEM 2100, BTRY 3010, or AP statistics.

  • 10201 STSCI 5150   LAB 401

    • F Warren Hall B50
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10202 STSCI 5150   LAB 402

    • R Ives Hall 111
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10203 STSCI 5150   LAB 403

    • F Warren Hall B75
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10204 STSCI 5150   LAB 404

    • F Warren Hall B02
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person