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. (BUSI
2305 is included in the Business Field of Study.)
Upon successful completion of this course, students will:
Grade Basis: L
Credit hours: 3.0
Lecture hours: 3.0
Lab hours: 1.0