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 has no scheduled meetings and requires the use of Canvas. All coursework is completed on Canvas using an internet enabled device. This class is part of and is 16 weeks. For course details, students must check the .
PREREQ: Intermediate algebra or higher Recommended Preparation, Readiness for college-level English or ESL 188