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Deep dive into mean, median, and mode, including when to use robust estimators in the presence of outliers.
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The text covers foundational mathematical operations required for higher-level statistical analysis: . Differentiation . Integration . Matrix algebra . Linear programming . Where to Find it (Digital & Print)
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This book is a cornerstone of business, economics, and management education, recognized for its student-friendly approach and direct application to real-world scenarios.
3rd edition Quantitative Statistical Techniques , primarily authored by Andre Swanepoel and colleagues from the University of Pretoria Matrix algebra
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A/B testing for user interfaces, customer segmentation via cluster analysis, and predictive churn modeling.
A typical syllabus for a course using this text might include the following learning outcomes: