MATH 117 - Elementary Statistics

    Recent Professors
    David Gilbert, Pam Guenther, Yen Kuang Chou, Lee Chang, Bronwen Moore, Daniel Giles-Bullicer, Andrea Cullinen, Gabriel Pretel and 6 more
    Recent Semesters
    Summer 2025, Spring 2025, Fall 2024, Summer 2024, Spring 2024
    Class Size
    30–33 students
    Difficulty
    6.7Demandingout of 10
    Credits
    4
    Prerequisite
    Placement as determined by SBCC'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 117
    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. ( STAT C1000 formerly MATH 117 prior to Fall 2025.)
    Usually Held
    Tue Thu 1:00pm–3:05pm, Tue Thu 10:30am–12:35pm, Tue Thu 3:30pm–5:35pm, Tue Thu 8:00am–10:05am