STSCI 4090

STSCI 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:  Students may receive credit for only one course in the following group:  BTRY 4090/STSCI 4090, 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.

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

  • 4 Credits Graded

  • 17232 STSCI 4090   LEC 001

  • 17233 STSCI 4090   DIS 201