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Loose-Leaf for Business Analytics provides the student a detailed overview of business analytics concepts, including transforming numerical data, variables and scales of measurement, probability concepts and probability rules, the total probability rule and Bayes’ Theorem, methods to visualize a numerical variable, the standard normal distribution, binning, among others. This textbook is direct and concise with systematic content designed to engage today’s student through visually engaging content. There is a wide variety of assignment types that help students master business analytics concepts & build real-world working capability. Loose-Leaf for Business Analytics goes into the sampling distribution of the sample proportion, the interaction of two dummy variables, the data mining process, oversampling, and using Excel to obtain performance charts for classification. A chapter is broken down into advanced regression analysis. Buy the textbook Loose-Leaf for Business Analytics and be confident in your business analytics education and career.
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