STSCI 3110

STSCI 3110

Course information provided by the Courses of Study 2020-2021.

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based estimation, sampling distributions and hypothesis testing.

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: MATH 1110 or equivalent.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: BTRY 3080, ECON 3110, ECON 3130, ILRST 3080, ILRST 3110, MATH 4710, STSCI 3080, STSCI 3110.

Distribution Category (MQR-AS, SDS-AS, SMR-AS)

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits Graded

  • 10506STSCI 3110  LEC 001

    • MWOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online
    Prerequisites: MATH 1110 or equivalent. FORBIDDEN OVERLAP: Students may receive credit for only one course in the following group: ILRST/ECON/STSCI 3110, BTRY/STSCI 3080, ECON 3130, and MATH 4710

  • 10507STSCI 3110  DIS 201

    • FOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 11332STSCI 3110  DIS 202

    • FOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits Graded

  • 17917STSCI 3110  LEC 002

    • MWOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 10508STSCI 3110  DIS 221

    • FOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 17017STSCI 3110  DIS 222

    • FOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online