— Introduction to Mathematical Statistics I

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. STA 200B — Introduction to Mathematical Statistics I (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 200A ; or consent of instructor. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students; Pass Two restricted to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. STA 200B — Introduction to Mathematical Statistics I (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 200A ; or consent of instructor. Learning Activities: Lecture/Discussion 4 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students; Pass Two restricted to graduate students. Grade Mode: Letter. This course version is effective from, and including: Spring Quarter 2027. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. STA 200B — Introduction to Mathematical Statistics I (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 200A ; or consent of instructor. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students; Pass Two restricted to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. STA 200B — Introduction to Mathematical Statistics I (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 200A ; or consent of instructor. Learning Activities: Lecture/Discussion 4 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students; Pass Two restricted to graduate students. Grade Mode: Letter. This course version is effective from, and including: Spring Quarter 2027.