An application-orientated course that utilizes statistical techniques for accurately collecting, analyzing, and interpreting business data. A review of basic statistical techniques for describing data is used as a foundation for more advanced topics in discrete and continuous probability distributions, sampling methods, confidence intervals, one-sample and two-sample hypothesis testing, ANOVA analysis, correlation, and single and multivariable regression analysis.

Prerequisite(s): MAT 108 and CIS 120 .
Grading Basis: Letter Grade Repeatable: No Typical Periods Offered: Fall, Spring, Summer

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