Semester Credit Hour(s):3 Lecture Hour(s) Each Week: 3 Lab Hour(s) Each Week: 0Descriptive and inferential statistical techniques for business and economic decision -making. Topics include the collection, description, analysis, and summarization of data; probability; discrete and continuous random variables; the binomial and normal distributions; sampling distributions; tests of hypotheses; estimation and confidence intervals; linear regression; and correlation analysis. Statistical software is used to analyze data throughout the course. Prerequisite(s): Successful Completion (C or better) of MATH 1324 or MATH 1314 & Successful Completion of BCIS 1305 When Offered: F, Sp Coordinating Board Approval Number: 5213025104)
