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 one in-person meeting for the Final Exam and the use of Canvas. The Final Exam will take place in person on Friday May 16 12:10 - 2:00pm. Students will also complete coursework in Canvas, which must be accessed using an internet enabled device. This class is part of and is 16 weeks. For student support and other services, students can check .For course details, students must check the .
PREREQ: Intermediate algebra or higher Recommended Preparation, Readiness for college-level English or ESL 188