# Mathematics (STAT) courses

Lake Tahoe Community College · 2026-2027 Catalog · 1 courses

Source: https://ltcc.elumenapp.com/catalog/2026-2027/department/mathematics

"Offered" lists sections in this catalog year's class schedules: Fall 2026, Winter 2027, Spring 2027.

### STAT C1000 — Introduction to Statistics

- **Units:** 5
- **Hours:** 5 hours lecture weekly, 60 contact hours total
- **Prerequisite:** MAT 154A or MAT154AA with a grade of "C" or better or equivalent.; 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, 6 sections listed as STAT-C1000 (/c/lake-tahoe-community-college/schedule/fall-2026/stat.md); Winter 2027, 5 sections listed as STAT-C1000 (/c/lake-tahoe-community-college/schedule/winter-2027/stat.md); Spring 2027, 4 sections listed as STAT-C1000 (/c/lake-tahoe-community-college/schedule/spring-2027/stat.md)
- Credit by Exam/Challenge: Yes
- LTCC- Local General Education Curriculum: Area 2: Mathematic Concepts
- CSU General Education Curriculum: Area B4: Mathematical Concepts
- IGETC Intersegmental General Education Transfer Curriculum: Area 2: Mathematical Concepts and Quantitative Reasoning (Pending)
- Cal-GETC: Area 2: Mathematical Concepts and Quantitative Reasoning
- 25/26 - Local General Education Curriculum: Area 2: Mathematical Concepts & Quantitative Reasoning
- Cal-GETC: Area 2: Mathematical Concepts and Quantitative Reasoning

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.