IS 222 - Analytics 1: Statistics

Lecture Hours: 3
Lab Hours: 0
Credit Hours: 3
Terms Offered: Fall, Spring

Survey of methods of collection, analysis, presentation, and interpretation of business information. Includes methods of sampling, uses of averages, construction of graphs, index numbers, probability, distributions, hypothesis testing, analysis of variance, chi-square, and correlation and regression analysis. Requires the use of contemporary statistical software in a business context. Prerequisite: MATH 130.