MATH 3050 - Statistical Methods

3 Credit Hours
Prerequisite: MATH 2050  
This course is a continuation of Math 2050, Statistical Data Analysis for the Sciences.  Topics to be covered include an introduction to statistical modeling, non-parametric statistics, two-way ANOVA, Generalized Linear Models, and analysis of count and survey data. Emphasis will be placed on using technology to support statistical methods in the analysis of real-world data.  
 Upon successful completion of the Statistical Methods, the students should be able to:  1) Demonstrate proficiency in data analysis and statistical concepts;  2) Communicate critically reasoned analysis to different audiences;  3) Proficiently use statistical software for data analysis; 4)  Differentiate and apply Non-Parametric Methods;  5) Develop and apply graphical representations of multivariate data;  6) Perform simulations to generate data in order to solve applied problems;  7)  Analyze data through an array of Regression Models;  8) Conduct statistical analysis of Survey Data.