In this course students are introduced to the concepts and applications of statistical methods and data analysis. STATS 250 has no prerequisite and has been elected by students whose mathematics background includes only high school algebra. Examples of applications are drawn from virtually all academic areas. Topics include summarizing and gathering data, probability, models for variables, inference for one and two sample scenarios for means and proportions, analysis of variance, regression analysis, and categorical data analysis. The course format includes lectures (3 hours per week) and a laboratory (1.5 hours per week). The laboratory section deals with the computational aspects of the course and provides a forum for application of lecture material. For this purpose, students are introduced to the use of a statistical analysis-computer package. Course evaluation is based on a combination of two examinations, a final examination, weekly homework, writing assignments, and lab participation.
Course Requirements:
There will be two quizzes, a midterm, and a final exam for this course. Exams and quizzes will be asynchronous. Testing will take place within a designated time frame, and students may choose when within that time frame to complete the assessment. Tests will take place via Gradescope and quizzes via Canvas.
Class Format:
This course is online. Weekly lectures for this course will be recorded and made available asynchronously. Weekly lab sessions will require synchronous participation.