Titlebook: Introduction to Statistics and Data Analysis; With Exercises, Solu Christian Heumann,Michael Schomaker,Shalabh Textbook 2022Latest edition

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Random Variablesedge to draw conclusions about the expected salary for the population of all students graduating in law. Similarly, if a newly developed drug is given to a sample of selected tuberculosis patients, then some patients may show improvement and some patients may not; but we are interested in the consequences for the entire population of patients.

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Inferenceit is desirable to make conclusions about the entire population of interest and not only about the sample data. In this chapter, we describe the framework of . which allows us to infer from the sample data about the population of interest—at a given, pre-specified uncertainty level—and knowledge about the random process generating the data.

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Textbook 2022Latest editionhinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inferen

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