BUSI 2305 - Business Statistics

Credits 3 Lecture Hours 3 Lab Hours 0

Descriptive 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: MATH 1324 Mathematics for Business & Social Science Majors or MATH 1314 College Algebra; BCIS 1305/1405 Business Computer Applications Course Identifier 52.1302.5104 AC