Introduction to Statistics and Data Analysis
With Exercises, Solutions and Applications in R
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Beschreibung
Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. 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 inference.
The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.
Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. 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 inference.
The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.
Introduces undergraduate students and self-learners to quantitative data analysis and statistics Features new chapters on logistic regression, sampling and bootstrapping, and causal inference Provides a wealth of examples, exercises and solutions as well as working computer code in R
Autor*in
Christian Heumann
Themen in »Introduction to Statistics and Data Analysis«
descriptive statistics inductive statistics quantitative data analysis statistical software R introduction to statistics applications of statistical methods statistical inference hypotheses testing linear regression logistic regression bootstrapping causality random sampling probability distributions random variables