SOC M125 - Statistics for the Behavioral and Social Sciences

    Recent Professors
    Danielle Vieira, Rebecca Gresh
    Recent Semesters
    Spring 2027, Fall 2026, Spring 2026
    Class Size
    40 students
    Difficulty
    2.6Lightout of 10
    Credits
    4
    Prerequisite
    Intermediate Algebra or placement as determined by the college's multiple measures assessment process
    Spring 2027 Sections
    View Spring 2027 sections of SOC M125
    Transfers To
    UC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4
    Description
    Introduces the concepts of descriptive and inferential statistics and appropriate use of statistical techniques to analyze and interpret applications based on data from the social and behavioral sciences and related fields including psychology, sociology, education, criminal justice, health science, economics, business, anthropology, and political science. Includes probability theory, hypothesis testing, and predictive techniques. Covers descriptive statistics, probability and sampling distributions, statistical inference, correlation and linear regression, z-test, one and two sample t-tests, analysis of variance, and chi-square. Includes use of statistical software for analysis of data and interpretation of results. Focuses on applications for students majoring in psychology, sociology, and other social and behavioral sciences.
    Usually Held
    Mon Wed 10:00am–11:50am, Tue Thu 10:00am–11:50am