MATH 16 - Elementary Statistics

    Recent Professors
    Elizabeth Bishop, Luke Spence, Connie Hebert, John Cristobal
    Recent Semesters
    Summer 2025
    Class Size
    34–35 students
    Difficulty
    6.5Demandingout 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.
    Summer 2025 Sections
    View Summer 2025 sections of MATH 16
    Transfers To
    Not transferable
    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. [Formerly MATH 16] Portions of instruction may be offered online; may also be offered fully online. [C-ID MATH 110]
    Usually Held
    Mon Tue Wed Thu 11:30am–2:20pm