Course Schedule and Catalog
Course Schedule - Spring Semester 2027
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
STAT 105 001 (CRN: 26872)
STATISTICAL LITERACY
Long Title: STATISTICAL LITERACY
Department: Statistics
Instructor: Guerra, Rudy
Meeting: 2:00PM - 3:15PM MF (11-JAN-2027 - 23-APR-2027)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Distribution Group: Distribution Group III
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Section Max Enrollment: 30
Section Enrolled: 0
Waitlisted: 0 (Max 99)
Current members of the waitlist have priority for available seats.
Enrollment data as of: 2-NOV-2026 4:42AM
Final Exam: Scheduled Final Exam-OTR Room
Description: This course is about statistical literacy, knowing how to evaluate statistical evidence in statistical arguments. The course is designed for consumers of statistics with a view toward learning how to critically think and reason statistically, ask pertinent questions, and be aware of factors that can influence statistical studies. Topics include the scientific method, data collection, looking at data, statistical study design, observational studies, association vs causation, confounding, statistical adjustments, bias, error, uncertainty, probability, ethics in data analysis, reproducibility, the role of artificial intelligence in statistics, and communicating statistical results. Statistical stories will be used as context for learning course topics. No prior knowledge of statistics or statistical software is expected.