BTRY 4090

BTRY 4090

Course information provided by the Courses of Study 2015-2016.

Introduction to classical theory of parametric statistical inference that builds on the material covered in BTRY 3080. Topics include sampling distributions, principles of data reduction, likelihood, parameter estimation, hypothesis testing, interval estimation, and basic asymptotic theory.

When Offered Fall, spring.

Prerequisites/Corequisites Prerequisite: BTRY 3080 or MATH 4710 or equivalent and at least one introductory statistics course.
Forbidden Overlaps Forbidden Overlap: MATH 4720.

  • Describe the general principles of statistical estimation and testing.
  • Design a statistical estimator in a principled way based on a description of a dataset.
  • Analyze the theoretical properties of an estimator and a hypothesis test.
  • Calculate and correctly interpret confidence intervals, p-values, statistical significance, and power.
  • Recognize the general principles underlying common statistical procedures.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4090

  • 4 Credits Graded

  • 17230 BTRY 4090   LEC 001

  • Prerequisite: BTRY 3080 or MATH 4710 or equivalent and at least one introductory statistics course.

  • 17231 BTRY 4090   DIS 201