Recent SemestersSpring 2027, Winter 2027, Fall 2026, Summer 2026, Spring 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 B4DescriptionThis 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 will include the normal curve, z-test for one and two samples, other types of probability rules, counting rules, hypothesis testing for proportions, and statistical inference for proportions. Furthermore, this class discusses experimental design (the role of confounding variables in observational studies, the role of random assignment, the strengths and weaknesses of observational studies and controlled experiments, etc.). Formerly MATH 165.Usually HeldMon 1:15pm–3:45pm, Mon Wed 10:50am–12:55pm, Mon Wed 11:30am–1:35pm, Mon Wed 3:50pm–5:55pm 