This course provides an introduction to descriptive and inferential statistics for liberal arts, psychology, and human service students. Students learn how to think about statistical issues, analyze data, and use basic statistical methods with understanding while de-emphasizing mathematical computation. Topics include: experimental design, data distributions, graphing techniques, measures of central tendency and dispersion, the normal curve, correlation, regression, and hypothesis testing. The class time is split between the classroom and online work, some in an adaptive learning environment. A statistical calculator will be required for this course. This course counts towards the Quantitative Reasoning area of general education. Laboratory course is required for Pathways students Pre-requisite(s): LAM100B or equivalent. Co-requisite(s): None. 5 quarter hours