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Nov 23, 2024
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QBA 1721 - Introduction to Information Analysis and Descriptive Analytics (Nonmajor)
This course introduces students to information analysis and descriptive analytics. It includes the organization of data, measures of central tendency and dispersion, estimation and hypothesis testing, simple and multiple linear regression analysis, and the use of Excel in statistical analysis. It also introduces effective information designs to help solve business problems. Students critically analyze business problems and develop high-quality information designs that inform and support management decisions using personal computer software tools.
Requisites: Not COB except BS6108, AA5006 ; and WARNING: no credit if taken after QBA 1720
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes: - Students will be able to apply information design concepts to effectively and creatively solve business problems.
- Students will be able to explain and summarize descriptive statistics concepts, including central tendency and dispersion, introduction to hypothesis testing, and linear regression.
- Students will be able to explain the importance of information design to effective, efficient, and truthful business communication.
- Students will be able to merge, sort, organize, and compute data from multiple sources to assist in decision making.
- Students will be able to use Excel to conduct statistical analysis.
- Students will be able to use, analyze, and interpret various forms of data to make business decisions.
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