logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Statistics Is Easy Second Edition 2nd Edition Dennis Shasha

  • SKU: BELL-4414908
Statistics Is Easy Second Edition 2nd Edition Dennis Shasha
$ 31.00 $ 45.00 (-31%)

4.1

60 reviews

Statistics Is Easy Second Edition 2nd Edition Dennis Shasha instant download after payment.

Publisher: Morgan & Claypool Publishers
File Extension: PDF
File size: 3.02 MB
Pages: 174
Author: Dennis Shasha, Manda Wilson, Steven G. Krantz
ISBN: 9781608455706, 160845570X
Language: English
Year: 2010
Edition: 2

Product desciption

Statistics Is Easy Second Edition 2nd Edition Dennis Shasha by Dennis Shasha, Manda Wilson, Steven G. Krantz 9781608455706, 160845570X instant download after payment.

Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then system atically presents the standard statistical measures along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Pragmatic Considerations when Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References / Bias Corrected Confidence Intervals / Appendix B

Related Products