Student Guide to Minitab Realease14

John D. Mc Kenzie, Robert Goldman

542 pages, parution le 01/01/2004

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Résumé

Businesses and universities worldwide rely on Minitab's powerful, easy-to-use statistical analysis software. The Student Guide to MINITAB helps readers quickly master either the Student or Professional version of MINITAB:

Step-by-step instruction uses case studies and 93 data sets in a wide variety of application areas to teach the reader to use MINITAB to describe, analyze, and display data.

Graphs are used at all stages of analysis to illustrate their role in checking assumptions, investigating data, and presenting results.

Greatly expanded problem sets are now graded in difficulty and include open-ended On Your Own projects for each chapter.

Improvements in the new MINITAB Student Release 14:

State-of-the-art graphics transform your data. MINITAB 14 has a powerful new graphics system for visualizing data analysis that allows users to update graphs automatically, customize graphs and save preferences, place several graphs in the same window, associate data tips, and more.

Comprehensive HTML Help system makes how-to information easier to find and print.

Project Manager, StatGuide™, and ReportPad™ logically organize data, graphs, and analysis; explain output; and generate reports.

Larger MINITAB worksheets give users more power.
The increase from 5,000 cells to 10,000 cells will help MINITAB Student users analyze larger files.

Sommaire

Minitab Fundamentals
- Tutorial 0 Getting Started With Minitab
- Tutorial I Working with Data
- Tutorial 2 Summarizing,Transforming, and Manipulating Data
Data Analysis, Distributions, and Random Data
- Tutorial 3 Data Analysis for One Variable
- Tutorial 4 Data Analysis: Comparing Groups
- Tutorial 5 Examining Relationships Between Two Quantitative Variables
- Tutorial 6 Distributions and Random Data
Inference
- Tutorial 7 Inferences from One Sample
- Tutorial 8 Inferences from Two Samples
- Tutorial 9 Comparing Population Means:Analysis of Variance
- Tutorial 10 Fundamentals of Linear Regression
Special Topics
- Tutorial 11 Building Regression Models
- Tutorial 12 Analyzing Qualitative Data
- Tutorial 13 Analyzing Data with Nonparametric Methods
- Tutorial 14 Time Series Analysis
- Tutorial 15 Total Quality Management Tools

Appendix A Data Sets
Appendix B Minitab Menus and Toolbars

Voir tout

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Addison Wesley
Auteur(s)	John D. Mc Kenzie, Robert Goldman
Parution	01/01/2004
Nb. de pages	542
Format	20 x 23
Couverture	Broché
Poids	910g
Intérieur	Noir et Blanc
EAN13	9780201774696
ISBN13	978-0-201-77469-6