Intro Statistics, Data Mining&Analy (MATH 2342)
		
		
			Term: 2017-2018 Academic Year Fall
		
	 
	Description
		
			Students collect, organize, analyze, represent, and draw conclusions about data sets using various methods of analysis and a variety of software packages.  Methods of analysis include central tendency, variability, probability distribution, correlation, regression, and hypothesis testing.  The student experience will culminate in a data mining project that solves a real-world problem.  Prerequisites:  COSC 1300 and MATH 1314