2018 new statistics textbooks

Here are some new statistics textbooks published in 2018:

  1. "Statistics in Plain English" by Timothy C. Urdan (4th edition) - This book provides an introduction to statistics using clear and concise language, making it accessible to students without a strong mathematical background.
  2. "Introduction to Statistical Learning" by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (2nd edition) - This book provides an introduction to the field of statistical learning, covering topics such as linear regression, classification, and clustering.
  3. "Statistics for the Utterly Confused" by Jerrold H. Zar (4th edition) - This book uses a humorous approach to introduce students to statistics, making it an engaging and entertaining read.
  4. "A First Course in Statistical Computing with R" by John Maindonald and William N. Venables (2nd edition) - This book provides an introduction to statistical computing using the R programming language, covering topics such as data visualization, regression, and hypothesis testing.
  5. "Statistics: A Very Short Introduction" by David J. Hand - This book provides a concise introduction to statistics, covering topics such as data collection, analysis, and interpretation.
  6. "Biostatistics: A Foundation for Analysis in the Health Sciences" by Wayne W. Piegorsch and David G. Hoel (4th edition) - This book provides an introduction to biostatistics, covering topics such as study design, data analysis, and statistical inference.
  7. "Statistics for Business and Economics" by James T. McClave, Terry Sincich, and Frank M. McClave (9th edition) - This book provides an introduction to statistics for business and economics students, covering topics such as descriptive statistics, inferential statistics, and regression analysis.
  8. "Probability and Statistics for Engineering and the Sciences" by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying Ye (10th edition) - This book provides an introduction to probability and statistics for engineering and science students, covering topics such as probability distributions, statistical inference, and regression analysis.
  9. "Statistics: An Introduction" by David J. C. MacKay - This book provides an introduction to statistics, covering topics such as probability, Bayes' theorem, and statistical inference.
  10. "Data Analysis with Python" by Wes McKinney (2nd edition) - This book provides an introduction to data analysis using the Python programming language, covering topics such as data cleaning, visualization, and statistical analysis.

These are just a few examples of new statistics textbooks published in 2018. There are many other books available that may be more suitable for your specific needs and level of study.