— Introduction to Mathematical Statistics

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Sampling, methods of estimation, bias-variance decomposition, sampling distributions, Fisher information, confidence intervals, and some elements of hypothesis testing. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE). STA 131B — Introduction to Mathematical Statistics (4 units) Course Description: Sampling, methods of estimation, bias-variance decomposition, sampling distributions, Fisher information, confidence intervals, and some elements of hypothesis testing. Prerequisite(s): STA 131A C- or better or MAT 135A C- or better; consent of instructor. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Data Science majors and Statistics & Biostatistics graduate students. Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Fall Quarter 2026. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE). STA 131B — Introduction to Mathematical Statistics (4 units) Course Description: Sampling, methods of estimation, bias-variance decomposition, sampling distributions, Fisher information, confidence intervals, and some elements of hypothesis testing. Prerequisite(s): STA 131A C- or better or MAT 135A C- or better; consent of instructor. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Data Science majors and Statistics & Biostatistics graduate students. Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Fall Quarter 2026.