Student Edition of Minitab for Windows Student Manual Only


Book Description

A student version of a professional statistical software package that imports and exports data, processes it, and describes, analysizes, and displays it in a graphic format.










Getting Started Guide


Book Description




The Student Edition of Minitab


Book Description

An interactive statistical software package for organizing, analyzing, and reporting statistical data. Student edition is a streamlined version of the commercial program with manual written specifically for students.







Minitab Student Version 12 for Windows


Book Description

The new version of this software and MINITAB "mini-manual" explains the fundamentals of using MINITAB. It is only available when bundled with another Duxbury textbook.




The Student Guide to Minitab Release 14


Book Description

The Guide to Minitab includes both a Getting Started with Minitab section and hands-on, self-paced Tutorials designed to teach students how to use the software capabilities through a variety of approaches. The Tutorials cover all of the primary features and capabilities of MINITAB, including graphical and numerical methods for one and two or more variables, bivariate analysis, total quality management tools, time series analysis, and taking data from the web, to name a few. MINITAB is an easy-to-use general-purpose statistical computing package for analyzing data. It is a flexible and powerful tool that was designed from the beginning to be used by students and researchers new to statistics. It is now one of the most widely used statistics packages in the world. Minitab performs horribly tedious computations and produces accurate and professional quality graphs almost instantly. This power frees the user to focus on the exploration of the structure of the data and the interpretation of the output. MINITAB software not included.







The Student Edition of Minitab


Book Description

An interactive software package for organizing, analyzing, and reporting statistical data. Statistical features include basic statistics, regression analysis, analysis of variance, and nonparametric tests, among others, with graphics to enhance the display of data.