Upon completion, students should be able to solve problems, apply critical thinking, work in teams, and communicate effectively. This course provides a project-based approach to the study of basic probability, descriptive and inferential statistics, and decision making. Emphasis is placed on measures of central tendency and dispersion, correlation, regression, discrete and continuous probability distributions, quality control, population parameter estimation, and hypothesis testing. Upon completion, students should be able to describe important characteristics of a set of data and draw inferences about a population from sample data. This course is a laboratory for MAT 151.
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. This course provides an integrated technological approach to algebraic topics used in problem solving. Upon completion, students should be able to choose an appropriate model to fit a data set and use the model for analysis and prediction. This course is a laboratory for MAT 161. Emphasis is placed on experiences that enhance the materials presented in the class.