Course Description

INTRODUCTION TO STATISTICS, STAT 100B

Topics include linear regression, correlation, analysis of variance, and simple experimental designs.

Students MUST enroll in BOTH a discussion section AND a lab section for this course. After registration, Student Support will contact you to confirm your enrollment.

Key Information

Credit: 5 quarter units / 3.33 semester units credit
UC Riverside, Statistics

Course Credit:

Upon successful completion, all online courses offered through cross-enrollment provide UC unit credit. Some courses are approved for GE, major preparation and/or, major credit or can be used as a substitute for a course at your campus.

If "unit credit" is listed by your campus, consult your department, academic adviser or Student Affairs division to inquire about the petition process for more than unit credit for the course.

UC Berkeley:
Unit Credit

UC Davis:
Unit Credit

UC Irvine:
Unit Credit

UC Los Angeles:
Unit Credit

UC Merced:
units toward degree (see your advisor)

UC Riverside:
Major Requirement: required for minor in statistics.

UC San Diego:
Major Requirement: For Cognitive Science Majors: taken together UCR STAT 100A & STAT 100B would count for UCSD COGS 14B - Introduction to Statistical Analysis

UC San Francisco:
Unit Credit

UC Santa Barbara:
Unit Credit

UC Santa Cruz:
Unit Credit

Prerequisites

Prerequisite(s): STAT 100A with a grade of C- or better; or consent of instructor.

Course Fees

Approximately $45 fee for WebAssign

Course Creators

Yingzhuo Fu
James Flegal
James Flegal is an Associate Professor of Statistics at the University of California, Riverside. He received his Ph.D. from the School of Statistics at the University of Minnesota. His research interests include statistical computing, Markov chain Monte Carlo, Bayesian statistical methods, and Monte Carlo standard errors. Prior to graduate school, James attended Northwestern University where he earned a B.S. in Mechanical Engineering. His professional career outside of academia includes modeling furnace systems with computational fluid dynamics algorithms and designing welded fabrications for a heavy equipment manufacturer. James Flegal is an Associate Professor of Statistics at the University of California, Riverside. He received his Ph.D. from the School of Statistics at the University of Minnesota. His research interests include statistical computing, Markov chain Monte Carlo, Bayesian statistical methods, and Monte Carlo standard errors. Prior to graduate school, James attended Northwestern University where ...

James Flegal is an Associate Professor of Statistics at the University of California, Riverside. He received his Ph.D. from the School of Statistics at the University of Minnesota. His research interests include statistical computing, Markov chain Monte Carlo, Bayesian statistical methods, and Monte Carlo standard errors. Prior to graduate school, James attended Northwestern University where he earned a B.S. in Mechanical Engineering. His professional career outside of academia includes modeling furnace systems with computational fluid dynamics algorithms and designing welded fabrications for a heavy equipment manufacturer.

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