Mathematics
3 courses · El Camino College · 2026-2027 Catalog
Classes: Fall 2026 · Winter 2027 · Spring 2027
STAT 0100S Introduction to Statistics Support
- Units
- 1
- Hours
- 1 hour lecture
- Corequisite
- STAT C1000
- Formerly
- MATH 150S
This course is designed to support students concurrently enrolled in Introduction to Statistics (C1000). As needed, students review core skills and topics necessary to meet the Introduction to Statistics student learning outcomes and objectives. Students explore strategies and habits used by successful independent learners. Topics reviewed in this support course may include: concepts from arithmetic, pre-algebra, elementary and intermediate algebra, and descriptive statistics that are needed to understand the basics of college-level statistics.
STAT C1000 Introduction to Statistics
- Units
- 4
- Hours
- 4 hours lecture
- Prerequisite
- Placement as determined by the college's multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra.
- Formerly
- MATH 150
- Transfers to
- CSU, UC
This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines.
STAT C1000H Introduction to Statistics - Honors
- Units
- 4
- Hours
- 4 hours lecture
- Prerequisite
- Placement as determined by the college's multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra.
- Formerly
- MATH 150H
- Transfers to
- CSU, UC
This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. This is an honors course.