MATH 3000 - Applied Statistics

(3) Credit Hours
Prerequisite: MATH 2000
Applied Statistics is designed to prepare students to use a variety of statistical packages to solve real-world problems. The course will cover and expand on the statistical concepts covered in MATH 2000, including descriptive statistics, probability distributions, regression, one and two -sample tests, and ANOVA. Upon successful completion of the Applied Statistics course, the students should be able to: 1) Calculate and interpret statistical measures of a dataset. 2) Develop and apply graphical representations of univariate and multivariate data. 3) Perform simulations to generate data in order to solve applied problems. 4) Analyze data through a series of inferential methods such as hypothesis tests, confidence intervals, and regression. 5) Demonstrate proficiency using major statistical packages.