DS 23 - Business Statistics

    Recent Professors
    J. Green, D. Cetin Berber, C. Hanke, M. Haskell, C. Ferbrache, T. McLeod, A. Birkholz
    Recent Semesters
    Spring 2027, Fall 2026, Summer 2026, Spring 2026
    Class Size
    25–50 students
    Difficulty
    5.6Moderateout of 10
    Credits
    3
    Prerequisite
    MATH 103 OR placement by multiple measures
    Spring 2027 Sections
    View Spring 2027 sections of DS 23
    Transfers To
    UC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4
    Description
    This course covers using probability and predictive techniques to facilitate decision-making using data from disciplines including business, social sciences, psychology, life sciences, health sciences, and education. The analysis will incorporate EXCEL/Other Statistical Software and a graphing calculator. Descriptive measures include central tendency and dispersion, probability theory, discrete and continuous probability distributions, sampling distributions, central limit theorem, time series, index numbers, statistical inference using one and two sample hypothesis tests using both the standard and t distributions for both means and proportions, estimation, correlation, regression, analysis of variance (ANOVA), and nonparametric methods including Chi-squared. (A, CSU-GE, UC, I)
    Usually Held
    Mon Wed 10:25am–10:50am, Mon Wed 11:00am–12:15pm, Mon Wed 12:25pm–12:50pm, Mon Wed 9:00am–10:15am