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IM3122

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Business Data Analysis

Course Description

This course provides a sound conceptual introduction to the field of statistics and its many applications in business and economics. Topics covered include probability distributions, inferential statistics, analysis of variance, regression analysis, and time series forecasting. Excel's Data Analysis Tools will be utilized in hypothesis testing, ANOVA, covariance and correlation, random number generation and regression. These analytical frameworks and tools will enable students to analyze and interpret business data and experimental results and apply all of the above to questions involving business and economics for the purpose of better decision-making.

Requisites

Credits

3

Course Typically Offered

SPRNG