Unique approach that includes novel topics for introductory courses, including: bootstrapping, Walsh averages, and jackknifing

Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software

Designed for use inside and outside statistics departments

Accompanying data sets, R and Minitab code, and solutions manual make this textbook easy to use for students and instructors

Unique approach that includes novel topics for introductory courses, including: bootstrapping, Walsh averages, and jackknifing Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software Designed for use inside and outside statistics departments Accompanying data sets and R code make this textbook easy to use for students and instructors Includes supplementary material: sn.pub/extras

Autorentext
Douglas A. Wolfe is a Professor Emeritus in the Department of Statistics at The Ohio State University. Much of his current research is in ranked set sampling. He is also the author of a popular textbook on nonparametric statistics. Grant Schneider is a Data Scientist at Upstart Network in the San Francisco Bay area. Grant created the accompanying R package and is experienced with statistical programming for research and in the classroom. He received his PhD in Statistics from The Ohio State University.

Inhalt
Exploratory Data Analysis.- Exploring Bivariate Data and Categorical Data.- Designing a Survey or Experiment.- Understanding Random Events.- Sampling Distributions and Approximations.- Statistical Inference.- Appendices. Full TOC attached.