RES6003 - Applied Statistics

Credits: 3

Students will examine basic principles in applied statistics. Topics include data types, organizing data, graphing techniques, probability concepts, measures of central tendency, measures of dispersion, normal and skewed distributions, and understanding the area that covers normal distributions. Understanding, applying, and interpreting the principles to simple hypothesis testing methods through a seven-step process is also covered. The course is designed to provide an introduction to statistical applications that can be applied in real-world settings along with providing an excellent foundation for entering into the more advanced statistical applications and analyses using SPSS. Pre-requisite(s): RES6013