LAURETI Tiziana
(syllabus)
Introduction to data analysis: Describing Categorical and Numerical Data Graphical representation of data Central tendency and variability Index number Association between Categorical Variables Association between Quantitative Variables Probability Random Variables Samples and Surveys Point estimation Confidence Intervals Statistical Tests Linear regression model
(reference books)
Pearson New International Edition. Statistics for Business. Decision Making and Analysis. Robert Stine Dean Foster. Second Edition
Additional materials will be provided by the lecturer during the lessons.
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