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. 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.