Mathematics STAT

3 courses · Allan Hancock College · 2026-2027 Catalog

Classes: Summer 2026 · Fall 2026 · Spring 2027

STAT 1400S Support For STAT C1000

Units
1
Corequisite
STAT C1000
Transfers to
CSU

Course Offered: Spring, Summer, Fall

Grading Method: Pass/No Pass

This course is offered as a supplement for students enrolled in Stat C1000, Introduction to Statistics. It is intended for students for whom support has been recommended or required. The course reviews prerequisite topics and strategies to be a more successful math student.

Offered: Fall 2026 (1 section) · Spring 2027 (3 sections)

STAT C1000 Introduction to Statistics

Units
4
Transfers to
CSU, UC
C-ID
MATH 110

Course Offered: Spring, Summer, Fall

Grading Method: Letter Grade Only

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. The course is not open to students who received credit for MATH 123 or STAT C1000E.

Offered: Summer 2026 (6 sections) · Fall 2026 (27 sections) · Spring 2027 (24 sections)

STAT C1000E Introduction to Statistics

Units
5
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.
Transfers to
CSU, UC

Course Offered: Spring, Summer, Fall

Grading Method: Letter Grade Only

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. The course is not open to students who received credit for MATH 123 or STAT C1000.

Not on the Summer 2026, Fall 2026, Winter 2027, Spring 2027 schedules.

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