# Statistics (STAT) courses

Woodland Community College · 2026-2027 Catalog · 2 courses

Source: https://wcc.yccd.edu/wp-content/uploads/2026/06/WCC-Catalog-2026-27.pdf#page=222

"Offered" lists sections in this catalog year's class schedules: Fall 2026.

### STAT-C1000 — Introduction to Statistics

- **Units:** 4
- **Hours:** 63 lecture hours, 27 lab hours
- **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.
- **C-ID:** MATH 110
- **Transfers to:** CSU, UC
- **Offered:** Fall 2026, 8 sections (/c/woodland-community-college/schedule/fall-2026/stat.md)
- Letter Grade Only
- Limitations on Enrollment: Not open for credit to students with credit in STAT1
- Counts toward WCC Graduation Area 2
- Cal-GETC: 2

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-100 — Algebra Support for Introduction to Statistics

- **Units:** 1
- **Hours:** 9 lecture hours, 27 lab hours
- **Prerequisite:** Concurrent enrollment in or satisfactory completion of STATC1000
- **Offered:** Fall 2026, 1 section (/c/woodland-community-college/schedule/fall-2026/stat.md)
- Pass/No Pass Only

A review of prerequisite skills, competencies, and concepts needed in statistics. Intended for students who are concurrently enrolled in STAT C1000, Introduction to Statistics, at Woodland Community College. Topics include concepts from elementary and intermediate algebra needed to understand the basics of college-level statistics. Concepts are taught in the context of statistical analysis.