Catalog Description
Descriptive statistics: organization of data, sample surveys, experiments and observational studies, measures of central tendency and dispersion, correlation, regression lines, and analysis of variance (ANOVA). Probability theory. Random variables: expected value, variance, independence, probability distributions, normal approximation. Sampling: sampling distributions, and statistical inference, estimating population parameters, interval estimation, standard tests of hypotheses.
Section Notes
This class will be taught in person on the Ocean campus. Students can contact the instructor at llum@ccsf.edu with questions before the semester starts.
Requisites
PREREQ: Intermediate algebra or higher Recommended Preparation, Readiness for college-level English or ESL 188
Learning Outcomes