A one term course in applied statistical methodology from an analysis-of-data viewpoint. Frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; one sample univariate inference problems, and two sample problems; categorical data; regression and correlation; and analysis of variance. Use of computers in data analysis.
Course Requirements:
Weekly homework assignments will be assigned and turned in on course.work. Exams and quizzes will be asynchronous and will take place within a designated time frame (e.g., 24 hours) within which students may choose when to complete their assessment. Exams will take place via Gradescope and quizzes via Canvas. Students' grades will also include lab work (see the specific lab section for details) and asynchronous MWrite assignments.
Class Format:
This course is online and synchronous. Lectures will be livestreamed via Zoom (from within Canvas) and will be recorded and made available asynchronously. Lecture attendance is highly encouraged, but not required.