Introduction to Probability and Statistics Using R by G. Jay Kerns
Introduction to Probability and Statistics Using R by G. Jay Kerns - Table of Contents
1. An Introduction to Probability and Statistics
2. An Introduction to R
3. Data Description
4. Probability
5. Discrete Distributions
6. Continuous Distributions
7. Multivariate Distributions
8. Sampling Distributions
9. Estimation
10. Hypothesis Testing
11. Simple Linear Regression
12. Multiple Linear Regression
13. Resampling Methods
14. Categorical Data Analysis
15. Nonparametric Statistics
16. Time Series
A. R Session Information
B. GNU Free Documentation License
C. History
D. Data
E. Mathematical Machinery
F. Writing Reports with R
G. Instructions for Instructors
H. RcmdrTestDrive Story
What You Will Learn in Introduction to Probability and Statistics Using R by G. Jay Kerns
"Introduction to Probability and Statistics Using R" by G. Jay Kerns is a modern textbook that teaches "probability and statistics", focusing on practical learning with the R programming language. It explains core statistical concepts using computational methods and real examples, making statistics easier to understand and apply. The book helps learners develop skills in "data analysis" and statistical reasoning through hands-on exercises and programming.
A key feature of the book is its emphasis on "R programming", which allows students to implement statistical methods and visualize data. Instead of relying only on formulas, it demonstrates how statistical ideas work in practice. Topics such as probability distributions, hypothesis testing, and "statistical inference" are explained with examples that learners can execute in R. This approach bridges theory and application, making statistics more interactive and meaningful.
Written by "G. Jay Kerns", the textbook is valuable for students, researchers, and data analysts. It supports modern learning by combining statistical theory with computational techniques. By focusing on "computational statistics" and real-world data, it prepares learners for practical problem solving and data-driven decision making. The book is ideal for anyone who wants to build strong foundations in statistics and data science.
Book Details & Specifications
Title:
Introduction to Probability and Statistics Using R by G. Jay Kerns
Publisher:
Lulu.com
Year:
2010
Pages:
386
Type:
PDF
Language:
English
ISBN-10 #:
0557249791
ISBN-13 #:
978-0557249794
License:
GNU Free Documentation License
Amazon:
Amazon
About the Author: G. Jay Kerns
The author
G. Jay Kerns
is an American statistician and professor at "Youngstown State University". He earned his PhD in mathematics and specializes in teaching probability and statistical methods. His academic work focuses on helping students understand data through practical examples and computational tools. Kerns’ expertise includes "probability", "statistics", "R programming", "data analysis", and "statistical education".
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