21st Century Statistics with R
Edition: 1
Copyright: 2020
Choose Your Format
Website
$103.32
21st Century Statistics with R publication teaches basic and advanced statistical methods using R for statistics practitioners in the data sciences. Hypothesis testing along with linear and logistic regression modeling are facilitated. Authentic datasets ranging from worldly to local are used exclusively, and readers are introduced to data applications from today’s scholarly journal articles.
Chapter 1: Getting Started in Statistics
Chapter 2: Methods for Comparing Datasets
Chapter 3: Estimation and Precision
Chapter 4: Probability
Chapter 5: Probability Models of Our World
Chapter 6: Statistical Tests
Chapter 7: Correlation and Regression
Nancy Livingston is Professor of Mathematics and Computer Science, and Chair of Online Teaching and Learning, at Western New Mexico University. She is active advisor for W.N.M.U. Math & Honors Society G.E.K and mentor for NMAMP student research projects in STEM, current newsletter editor and congressional representative for the Math Association of America Southwestern section. She holds a Ph. D in Mathematics from University of Oregon and is the author of “21st Century Statistics with R”, “Mathematics for Business in the 21st Century with Forecasting”, the “Gila Study” database, and scholarly journal articles in applied statistics for the environment. Her most recent presentation forums include 32nd International Conference on Technology in Collegiate Mathematics (2020), 8th Natural History of the Gila Symposium (2020), and Math Association of America (2019). She has earned multiple research grant awards for herself and her students, and her interests include fusing math with computing for red-listed species conservation, modeling natural disasters and aerial robotics simulation.
21st Century Statistics with R publication teaches basic and advanced statistical methods using R for statistics practitioners in the data sciences. Hypothesis testing along with linear and logistic regression modeling are facilitated. Authentic datasets ranging from worldly to local are used exclusively, and readers are introduced to data applications from today’s scholarly journal articles.
Chapter 1: Getting Started in Statistics
Chapter 2: Methods for Comparing Datasets
Chapter 3: Estimation and Precision
Chapter 4: Probability
Chapter 5: Probability Models of Our World
Chapter 6: Statistical Tests
Chapter 7: Correlation and Regression
Nancy Livingston is Professor of Mathematics and Computer Science, and Chair of Online Teaching and Learning, at Western New Mexico University. She is active advisor for W.N.M.U. Math & Honors Society G.E.K and mentor for NMAMP student research projects in STEM, current newsletter editor and congressional representative for the Math Association of America Southwestern section. She holds a Ph. D in Mathematics from University of Oregon and is the author of “21st Century Statistics with R”, “Mathematics for Business in the 21st Century with Forecasting”, the “Gila Study” database, and scholarly journal articles in applied statistics for the environment. Her most recent presentation forums include 32nd International Conference on Technology in Collegiate Mathematics (2020), 8th Natural History of the Gila Symposium (2020), and Math Association of America (2019). She has earned multiple research grant awards for herself and her students, and her interests include fusing math with computing for red-listed species conservation, modeling natural disasters and aerial robotics simulation.