Recent SemestersFall 2026Class SizeNot publishedCredits4PrerequisitePlacement 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 ToUC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4Descriptionmultiple measures assessment process or completion of a course taught at or above the level of intermediate algebra. 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 is an honors course. This course cover essential concepts and techniques for analyzing categorical data. Students will learn effective data visualization methods and statistical techniques. Topics include calculating and interpreting confidence intervals for one and two population proportions, checking necessary assumptions, and conducting hypothesis tests for both one and two populations. Additionally, the course addresses important considerations in hypothesis testing, such as Type I and Type II errors. UC credit limitation: ECON-291, PSYCH-104, SOCI- 137, STAT-C1000, STAT-C1000E, and STAT-C1000H combined, maximum credit one course. Formerly MATH- 140HUsually HeldMon 11:00am–12:20pm, Mon 12:30pm–1:20pm, Wed 11:00am–1:25pm 