Course Description

INTRODUCTION TO STATISTICS, STAT 010

A general introduction to descriptive and inferential statistics. Topics include histograms; descriptive statistics; probability; normal and binomial distributions; sampling distributions; hypothesis testing; and confidence intervals. Credit is awarded for one of the following STAT 010 or STAT 008.

Students MUST enroll in BOTH a discussion section AND a lab section for this course. Please confirm the discussion and lab times below before you enroll. Student Support will contact you to enroll in the lab section.

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:
Course Equivalence: UCD STA 013
General Education: QL, SE.

UC Irvine:
Unit Credit

UC Los Angeles:
General Education: MUST petition student's College advising unit for possible GE-science credit.

UC Merced:
Course Equivalence: UCM PH 010 (Introduction to Biostatistics) OR UCM ECON 010 (Statistical Inference) OR UCM BIO 018 (Data Science for Life Sciences) OR UCM MATH 18 (Statistics for Scientific Data Analysis)

UC Riverside:
Course Equivalence: UCR STAT 010
Major Requirement: Required for minor in Statistics.

UC San Diego:
Course Equivalence: UCSD PSYC 60: Introduction to Statistics
General Education: TMC 1 course toward upper division disciplinary breadth if noncontiguous to major, Seventh - 1 course towards Alternatives - Quantitative Reasoning; ERC 1 course Formal Skills , Sixth - Exploring Data; Warren - may count for Formal Skills; Muir- may petition as one course in a GE sequence in mathematics.
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:
Course Equivalence: PSTAT 5A/LS at UCSB
General Education: Area C-Science, Mathematics, and Technology; Quantitative Relations 

UC Santa Cruz:
Course Equivalence: UCSC STAT 5; when taken with STAT 011 together equivalent to UCSC STAT 7 and 7L;
General Education: SR

Prerequisites

MATH 005 or MATH 006B or MATH 009A or MATH 09HA or MATH 007A

More About The Course

Course was previously number STAT 100A.

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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