STAT C1000 - Introduction to Statistics

    Recent Professors
    Usha Ganeshalingam, Amanda Lien, Richard Lopez, Harman Dhaliwal, Loraine Moen, Nahrin Rashid, Mo Geraghty, Danny Tran and 14 more
    Recent Semesters
    Spring 2027, Winter 2027, Fall 2026, Summer 2026, Spring 2026
    Class Size
    Not published
    Difficulty
    5.6Moderateout of 10
    Credits
    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.
    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
    Part 1: 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. Part 2: This course is also an introduction to data analysis, making use of graphical and numerical techniques to study patterns and departures from patterns. The student studies randomness with an emphasis on understanding variation collects information in the face of uncertainty, checks distributional assumptions, tests hypotheses, uses probability as a tool for anticipating what the distribution of data may look like under a set of assumptions, and uses appropriate statistical models to draw conclusions from data. The course introduces the student to applications in engineering, business, economics, medicine, education, social sciences, psychology, the sciences, and those pertaining to issues of contemporary interest. The use of technology (computers or graphing calculators) will be required in certain applications. Where appropriate, the contributions to the development of statistics by men and women from diverse cultures will be introduced. This Statistics course is a required lower-division course for students majoring or minoring in many disciplines, such as data science, nursing, business, and others.
    Usually Held
    Mon Wed 11:00am–1:15pm, Tue Thu 6:30pm–8:45pm, Mon Tue Wed Thu 10:30am–11:20am, Mon Wed 1:30pm–3:45pm