Upon completion, students should be able to solve problems, apply critical thinking, work in teams, and communicate effectively. This course provides a technology-based treatment of multiple sample inferential statistics. Emphasis is placed on two sample hypothesis tests and confidence intervals, linear and multiple regression, analysis of variance, experimental design, and non-parametric techniques. Upon completion, students should be able to draw statistical inferences on multiple sample data taken from business and health, social, natural, and applied sciences. This course is a laboratory for MAT 252.
Emphasis is placed on experiences that enhance the materials presented in the class.
Upon completion, students should be able to solve problems, apply critical thinking, work in teams, and communicate effectively. Topics include functions, graphing, differentiation, and integration with emphasis on applications drawn from business, economics, and biological and behavioral sciences. Upon completion, students should be able to demonstrate an understanding of the use of basic calculus and technology to solve problems and to analyze and communicate results. This course is a laboratory for MAT 263. Emphasis is placed on experiences that enhance the materials presented in the class.