Examines probability techniques, hypothesis testing, and predictive techniques to facilitate behavioral science research. Topics include: descriptive statistics; probability and sampling distributions; statistical inference and power; correlation and linear regression; chi-square; t-tests; and analysis of variance. Applies both hand-computation and statistical software to data in a social science context, including interpretation of the statistical findings. May be offered in a distance-learning format. Transfer Credit: CSU; UC, WITH LIMITS: PSYCH 2A, BUS 9 and MATH 12/12H combined: maximum credit- 1 course. CAB GE A2, CSU GE B4, IGETC 2A. C-ID: MATH 110 and SOCI 125
Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
