STSCI 3080

Course information provided by the Courses of Study 2017-2018.

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, as well as an introduction to Bayesian methods. Some assignments may involve computation using the R programming language.

When Offered Fall, spring.

Prerequisites/Corequisites Prerequisite: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students may receive credit for only one course in the following group: BTRY 3080, ECON 3110, ECON 3130, ILRST 3080, ILRST 3110, MATH 4710, STSCI 3110, STSCI 3080.

Distribution Category (MQR-AS)

Outcomes
  • Students will be able to manipulate random variables and their distributions using differential and integral calculus.
  • Students will be able to derive properties of standard probability.
  • Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080

  • 4 Credits Stdnt Opt

  • 12109STSCI 3080  LEC 001

  • Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.

  • 12110STSCI 3080  DIS 201

  • 12156STSCI 3080  DIS 202