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Dec 18, 2024
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QBA 1720 - Introduction to Information Analysis and Descriptive Analytics
Introduces students to information analysis and descriptive analytics. Includes the organization of data, central tendency and dispersion, probability concepts, probability distributions, sampling distribution, estimation and hypothesis testing, simple linear regression analysis, analysis of variance, nonparametric statistical tests, and the use of Excel in statistical analysis. Introduces students to 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.
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: - Apply information design concepts to effectively and creatively solve business problems.
- Explain and summarize descriptive statistics concepts, including central tendency and dispersion, probability distributions, hypothesis testing, and simple linear regression.
- Explain the importance of information design to effective, efficient, and truthful business communication.
- Merge, sort, organize, and compute data from multiple sources to assist in decision making.
- Use Excel to conduct statistical analysis.
- Use, analyze, and interpret various forms of data to make business decisions.
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