STAT C1000 - Introduction to Statistics

    Recent Professors
    Robert Piper, David Heywood Jr, Matt Bourez, Thomas Tostenson, Danielle Alberti, Liana Craven, Chanthoeun Chap, Jared Burch and 13 more
    Recent Semesters
    Spring 2027, Fall 2026, Summer 2026, Spring 2026, Fall 2025
    Class Size
    18–40 students
    Difficulty
    5.6Moderateout of 10
    Credits
    4
    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.
    Spring 2027 Sections
    View Spring 2027 sections of STAT C1000
    Transfers To
    UC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4
    Description
    Common Description: 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. COS Expanded Description: This is an introductory course in probability and statistics covering both descriptive and inferential statistics. Statistical software will be used throughout this course. Supplemental learning assistance is available for students to strengthen skills and to reinforce student mastery of concepts. Students enrolled in STAT C1000 may access the supplemental learning assistance by enrolling in MATH 400 , an open entry/ open exit non-credit course. (C-ID: MATH110).
    Usually Held
    Mon Wed 11:10am–1:00pm, Mon Wed 10:10am–12:00pm, Mon Wed 8:10am–10:00am, Tue Thu 10:10am–12:00pm