STAT 101 - Statistics for the Social Sciences

    Recent Professors
    Raymond Lim, Maryam Mahmodian Bagheri, Wilson Chu, Maria Perser, Carman Wimsatt, Brian Gendron, Jennifer Moses, Angela Belden and 1 more
    Recent Semesters
    Fall 2026, Summer 2026, 2272
    Class Size
    Not published
    Difficulty
    7.0Demandingout of 10
    Credits
    4
    Prerequisite
    Successful completion of Intermediate Algebra or equivalent or higher or placement into transfer-level math/quantitative reasoning course.
    Fall 2026 Sections
    View Fall 2026 sections of STAT 101
    Transfers To
    UC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4
    Description
    Prerequisite: Successful completion of Intermediate Algebra or equivalent or higher or placement into transfer-level math/quantitative reasoning course. This course covers introductory statistics in the social and behavioral sciences, including probability theory, hypothesis testing, and predictive techniques. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis, including the interpre- tation of statistical findings to address social and behavioral science research ques- tions and practical applications. Use appropriate statistical techniques to analyze and interpret applications based on data from no fewer than four of the following disciplines: business, economics, sociology, psychology, political science, adminis- tration of justice, life science, physical science, health science, information technol- ogy, and education. Students will use statistical software to analyze data, report and interpret results in APA style. Emphasis is on conceptualization as well as data analysis.
    Usually Held
    Mon Tue Wed Thu 8:00am–10:05am, Mon Wed 11:10am–12:35pm, Mon Wed 12:45pm–2:10pm, Mon Wed 9:35am–11:00am