Upon completion, students should be able to solve problems, apply critical thinking, work in teams, and communicate effectively. None This course is an introduction to descriptive and inferential statistics. Topics include sampling, distributions, plotting data, central tendency, dispersion, C.L.T., confidence intervals, hypothesis testing, correlations, regressions, and multinomial experiments. Upon completion, students should be able to describe data and test inferences about populations using sample data. This course is a laboratory for MAT 155.
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.