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.
This class requires in-person meetings and the use of Canvas. In-person meeting information (meeting days, times, location) is in the class schedule. Students will also complete coursework in Canvas, which must be accessed using an internet enabled device. This class is part of CityOnline and is 17.5 weeks. For student support and other services, students can check Welcome to CityOnline. For course details, students must check the instructor's website.
PREREQ: Intermediate algebra or higher Recommended Preparation, Readiness for college-level English or ESL 188