STSCI 5150

STSCI 5150

Course information provided by the Courses of Study 2023-2024.

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, PUBPOL 2100, PUBPOL 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 discussion. Combined with: STSCI 2150

  • 4 Credits Stdnt Opt

  •  8148 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.

  •  8149 STSCI 5150   DIS 201

    • F Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  8150 STSCI 5150   DIS 202

    • R Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  8151 STSCI 5150   DIS 203

    • F Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  8152 STSCI 5150   DIS 204

    • R Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person