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Dec 05, 2025
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QBA 2720 - Business Analytics II
This course is designed to equip business students with the essential skills for crafting statistically sound experiments and interpreting their outcomes effectively. It encompasses various topics such as the functions of random variables, foundational principles of probability theory, sampling distributions, probability density function, cumulative distribution function, estimation theory, hypothesis testing, statistical prediction, ANOVA techniques, linear regression analysis, and the utilization of computer software for statistical analysis.
Requisites: QBA 1720 or 1721
Credit Hours: 3
OHIO BRICKS: Arch: Constructed World
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
Course Transferability: TAG course: OBU013 Business Statistics and OTM Mathematics Statistics
College Credit Plus: Level 1
Learning Outcomes: - Students will be able to use relevant business spreadsheet tools to conduct complex analyses efficiently and present results effectively.
- Students will be able to apply statistical methods to real-world business problems, fostering a data-driven approach to decision-making.
- Students will be able to apply hypothesis testing techniques to draw valid conclusions from sample data, making informed decisions and recommendations for business scenarios.
- Students will be able to conduct and interpret linear regression analysis, exploring relationships between variables and making predictions based on statistical models.
- Students will be able to communicate data-driven findings clearly and concisely to diverse audiences, facilitating effective decision-making within a business context.
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