Course Description
INTRO TO STATISTICAL MODELING, STAT 011
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:
General Education: MUST petition student's College advising unit for possible GE-science credit.
UC Merced:
Unit Credit (see your Academic Advisor)
UC Riverside:
Major Requirement: required for Minor in statistics.
UC San Diego:
General Education: Warren - may count for Formal Skills; Muir: may petition as one course in a GE sequence in Mathematics; TMC 1 course toward Math/Introductory Statistics or 1 course toward lower division disciplinary breadth if noncontiguous to major; Seventh - 1 course towards Alternatives - Quantitative Reasoning; ERC - Quantitative & Formal Skills; Sixth - Exploring Data
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:
General Education: Area C: Quantitative Relationships
UC Santa Cruz:
General Education: SR
Prerequisites
STAT 008 with a grade of C- or better or STAT 010 with a grade of C- or better.
More About The Course
Course was previously number STAT 100B.
Course Creator
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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