BTRY 5010

BTRY 5010

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

In this course, students develop statistical methods and apply them to problems encountered in the biological and environmental sciences. Methods include data visualization, population parameter estimation, sampling, bootstrap resampling, hypothesis testing, the Normal and other probability distributions, and an introduction to linear modeling. Applied analysis is carried out in the R statistical computing environment.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: one semester of calculus.
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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3010STSCI 2200STSCI 5200

  • 4 Credits Stdnt Opt

  •  2540 BTRY 5010   LEC 001

    • TR Warren Hall B25
    • Aug 21 - Dec 4, 2023
    • Entner, J

  • Instruction Mode: In Person
    Prerequisites: one semester of calculus.

  •  2541 BTRY 5010   DIS 201

  • Instruction Mode: In Person

  •  2542 BTRY 5010   DIS 202

  • Instruction Mode: In Person

  •  2543 BTRY 5010   DIS 203

  • Instruction Mode: In Person

  •  2544 BTRY 5010   DIS 204

  • Instruction Mode: In Person

  •  2545 BTRY 5010   DIS 205

  • Instruction Mode: In Person

  •  2546 BTRY 5010   DIS 206

  • Instruction Mode: In Person