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|MATH 2280 - Statistics and Software|
Provides an introduction to basic statistical techniques and the reasoning behind each statistical procedures. Covers appropriate statistical data analysis methods for applications in health and social sciences. Also examines a statistical package such as SPSS or SAS to implement the data analysis on computer. Topics include descriptive statistics, elementary probability theory, parameter estimation, confidence intervals, hypothesis testing, nonparametric inference, and analysis of variance and regression with a minimum of mathematical derivations. Prereq. Nonmathematics majors only; not open to students in the College of Computer and Information Science.
4.000 Credit hours
4.000 Lecture hours
Schedule Types: Lecture
NUpath Analyzing/Using Data, NU Core Math/Anly Think Lvl 2, UG College of Science