Statistics
2 courses · Palomar College · 2026-2027 Catalog
Classes: Fall 2026 · Spring 2027
STAT C1000 Introduction to Statistics
- Units
- 4
- Hours
- 4.00 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. For more information, refer to the Palomar College catalog under Course Information, Requisite Details.
- Transfers to
- CSU, UC
- C-ID
- MATH 110
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. Students who receive credit for STAT C1000 may not receive credit for STAT C1000E.
STAT C1000E Introduction to Statistics
- Units
- 4
- Hours
- 3.00 hours lecture, 3.00 hours lab
- 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. For more information, refer to the Palomar College catalog under Course Information, Requisite Details.
- Transfers to
- CSU, UC
- C-ID
- MATH 110
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 course has embedded support. Active learning techniques involving multiple modalities that include individual and/or group active learning projects/activities and/or student presentations will be used. Students who receive credit for STAT C1000E may not receive credit for STAT C1000.