Buy Taxation of Individuals 2022 Edition 13th Edition PDF ebook by author SPILKER – published by McGraw-Hill Higher Education in 2022 and save up to 80% compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
You can search our site for other versions of the Taxation of Individuals 2022 Edition 13th Edition PDF ebook. You can also search for others PDF ebooks from publisher McGraw-Hill Higher Education, as well as from your favorite authors. We have thousands of online textbooks and course materials (mostly in PDF) that you can download immediately after purchase.
Note: e-textBooks do not come with access codes, CDs/DVDs, workbooks, and other supplemental items.
- Full title: Taxation of Individuals 2022 Edition 13th Edition
- Edition: 13th
- Copyright year: 2022
- Publisher: McGraw-Hill Higher Education
- Author: SPILKER
- ISBN: 9781264368976, 9781264098576
- Format: PDF
Description of Taxation of Individuals 2022 Edition 13th Edition:
Applied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics. It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues). The Doane and Seward authors work as a team, integrating the digital and eBook assets seamlessly. In recognition of a growing interest in analytics training beyond Excel, the textbook now provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules, tables of R functions, and R-compatible Excel data sets.