MiniTab Manual for IPS
Author : David S. Moore
Publisher : Macmillan
Page : 268 pages
File Size : 48,72 MB
Release : 2005-02
Category : Mathematics
ISBN : 9780716763611
Author : David S. Moore
Publisher : Macmillan
Page : 268 pages
File Size : 48,72 MB
Release : 2005-02
Category : Mathematics
ISBN : 9780716763611
Author : David S. Moore
Publisher : W H Freeman & Company
Page : pages
File Size : 21,57 MB
Release : 2005-02-04
Category : Business & Economics
ISBN : 9780716777014
Author :
Publisher :
Page : 536 pages
File Size : 23,76 MB
Release : 1991
Category : Electronic data processing documentation
ISBN :
Author : Augustin Vukov
Publisher :
Page : 187 pages
File Size : 49,97 MB
Release : 2006
Category : Minitab
ISBN :
Author : Vukov
Publisher : Prentice Hall
Page : 196 pages
File Size : 47,78 MB
Release : 2002-02-20
Category : Mathematics
ISBN : 9780130669223
Integrates the statistical computing package MINITAB(tm) into an Introductory Statistics course, using Statistics by McClave/Sincich, 9/e.
Author : David S. Moore
Publisher : Macmillan
Page : 268 pages
File Size : 41,11 MB
Release : 2003-05-30
Category : Mathematics
ISBN : 9780716758877
Author : Michael J. Evans
Publisher : Macmillan
Page : 196 pages
File Size : 46,97 MB
Release : 2003-10-10
Category : Mathematics
ISBN : 9780716719212
Author : Thomas A. Ryan
Publisher :
Page : 154 pages
File Size : 25,49 MB
Release : 1980
Category : Education
ISBN :
Author : David S. Moore
Publisher : Worth Pub
Page : pages
File Size : 39,45 MB
Release : 2005-07-30
Category : Business & Economics
ISBN : 9780716745211
Author : Matthew A. Barsalou
Publisher : Quality Press
Page : 376 pages
File Size : 12,41 MB
Release : 2018-12-19
Category : Education
ISBN : 087389975X
This book was written to provide guidance for those who need to apply statistical methods for practical use. While the book provides detailed guidance on the use of Minitab for calculation, simply entering data into a software program is not sufficient to reliably gain knowledge from data. The software will provide an answer, but the answer may be wrong if the sample was not taken properly, the data was unsuitable for the statistical test that was performed, or the wrong test was selected. It is also possible that the answer will be correct, but misinterpreted. This book provides both guidance in applying the statistical methods described as well as instructions for performing calculations without a statistical software program such as Minitab. One of the authors is a professional statistician who spent nearly 13 years working at Minitab and the other is an experienced and certified Lean Six Sigma Master Black Belt. Together, they strive to present the knowledge of a statistician in a format that can be easily understood and applied by non-statisticians facing real-world problems. Their guidance is provided with the goal of making data analysis accessible and practical. Rather than focusing on theoretical concepts, the book delivers only the information that is critical to success for the practitioner. It is a thorough guide for those who have not yet been exposed to the value of statistics, as well as a reliable reference for those who have been introduced to statistics but are not yet confident in their abilities.