This book is a first course in probability and statistics using R. The book assumes a mathematical background of Calculus II, though much of the book can be read with a much lower level of mathematics. The book incorporates R throughout all sections via simulations, data wrangling and/or data visualization.
This book is a first course in probability and statistics using R. The book assumes a mathematical background of Calculus II, though much of the book can be read with a much lower level of mathematics. The book incorporates R throughout all sections via simulations, data wrangling and/or data visualization.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Darrin Speegle has 25 years of experience teaching probability and statistics at Saint Louis University, where he is a Professor and the Director of Data Science. He served as the program committee chair on the organizing team for UseR!2020 in St. Louis. His research has been supported by the National Science Foundation and the Simons Foundation. Bryan Clair is the Chair of the Mathematics and Statistics Department at Saint Louis University. His research is in topology and combinatorics. His work writing mathematics for general audiences has appeared in the New York Times, Washington Post, Math Horizons, and the SF magazine Strange Horizons.
Inhaltsangabe
1. Data in R. 2. Probability. 3. Discrete Random Variables. 4. Continuous Random Variables. 5. Simulation of Random Variables. 6. Data Manipulation. 7. Data Visualization with ggplot. 8. Inference on the Mean. 9. Rank Based Tests. 10. Tabular Data. 11. Simple Linear Regression. 11. Analysis of Variance and Comparison of Multiple Groups. 13. Multiple Regression.
1. Data in R. 2. Probability. 3. Discrete Random Variables. 4. Continuous Random Variables. 5. Simulation of Random Variables. 6. Data Manipulation. 7. Data Visualization with ggplot. 8. Inference on the Mean. 9. Rank Based Tests. 10. Tabular Data. 11. Simple Linear Regression. 11. Analysis of Variance and Comparison of Multiple Groups. 13. Multiple Regression.
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