Statistics
5 courses · Golden West College · 2026-2027 Catalog
Classes: Fall 2026 · Spring 2027
STAT C1000 Introduction to Statistics
- Units
- 4
- Hours
- 72 lecture 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.
- Transfers to
- CSU, UC (with credit limitation)
Formerly: MATH G160. 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. Enrollment Limitation: STAT C1000E/ECON G160/PSYC G140/SOC G125; students who complete STAT C1000 may not enroll in or receive credit for STAT C1000E, ECON G160, PSYC G140, or SOC G125. Common Course Number: STAT C1000.C-ID: MATH 110.
STAT C1000E Introduction to Statistics
- Units
- 6
- Hours
- 108 lecture 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.
- Transfers to
- CSU, UC (with credit limitation)
Formerly: MATH G160S. 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. Enrollment Limitation: STAT C1000/ECON G160/PSYC G140/SOC G125; students who complete STAT C1000E may not enroll in or receive credit for STAT C1000, ECON G160, PSYC G140, or SOC G125. Common Course Number: STAT C1000E.C-ID: MATH 110.
STAT G010N Measures of Central Tendency, Dispersion, and Position
- Hours
- 6-10 lab hours
- Corequisite
- MATH G100, MATH G103, MATH G104, MATH G115, MATH G115S, MATH G120, MATH G140, MATH G140S, MATH G170, MATH G180, MATH G185, MATH G280, MATH G285, MATH G287, STAT C1000, STAT C1000E, PSYC G140, SOC G125, or ECON G160.
This noncredit course introduces the basic concepts of arithmetic mean, median, mode, range, standard deviation, variance, z-scores, percentiles, and outliers and is designed to provide complementary support for college-level statistics courses. Open Entry/Open Exit. NOT DEGREE APPLICABLE.
STAT G011N Probability for Statistics
- Hours
- 0 lecture hours; 6-10 lab hours
- Corequisite
- MATH G100, MATH G103, MATH G104, MATH G115, MATH G115S, MATH G120, MATH G140, MATH G140S, MATH G170, MATH G180, MATH G185, MATH G280, MATH G285, MATH G287, STAT C1000, STAT C1000E, PSYC G140, SOC G125, or ECON G160.
This noncredit course introduces the basic concepts of probability, the addition rule and complements, independence and the multiplication rule, conditional probability and the general multiplication rule, and counting techniques and is designed to provide complementary support for college-level statistics courses. Open Entry/Open Exit. NOT DEGREE APPLICABLE.
STAT G012N Binomial and Normal Distributions
- Hours
- 0 lecture hours; 6-10 lab hours
- Corequisite
- MATH G100, MATH G103, MATH G104, MATH G115, MATH G115S, MATH G120, MATH G140, MATH G140S, MATH G170, MATH G180, MATH G185, MATH G280, MATH G285, MATH G287, STAT C1000, STAT C1000E, PSYC G140, SOC G125, or ECON G160.
This noncredit course introduces the basic concepts of probability, the addition rule and complements, independence and the multiplication rule, conditional probability and the general multiplication rule, and counting techniques and is designed to provide complementary support for college-level statistics courses. Open Entry/Open Exit. NOT DEGREE APPLICABLE.