MATH 021 - Introduction to Statistics Lecture and/or Discussion

    Recent Professors
    Jared Burch, Stephanie Collier, David Jones, Jon Blakely, Matt Bourez, David Heywood Jr, Mark Tom, Chanthoeun Chap and 16 more
    Recent Semesters
    Summer 2025, Spring 2025, Fall 2024, Summer 2024, Spring 2024
    Class Size
    10–41 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.
    Summer 2025 Sections
    View Summer 2025 sections of MATH 021
    Transfers To
    Not transferable
    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 8:10am–10:00am, Tue Thu 10:10am–12:00pm, Mon Wed 10:10am–12:00pm, Mon Wed 11:10am–1:00pm