Student Guide to MINITAB Release 14 + MINITAB Student Release 14 Statistical Software (Book + CD), The

Student Guide to MINITAB Release 14 + MINITAB Student Release 14 Statistical Software (Book + CD), The


Yazar John McKenzie ; Robert Goldman ; A. Minitab Inc.
Yayınevi Pearson Education
ISBN 9780201774696
Baskı yılı 2004
Sayfa sayısı 560
Ağırlık 0.80 kg
Edisyon 5
Stok durumu Tükendi   

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 included on the CD in the back of the guide and 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.
I. Getting Started. Installing Minitab. A Guided Tour Through. On-line Help. Minitab Sample Session. II. Tutorials. Working with Data. Summarizing, Transforming, and Manipulating Data. Graphical Methods for One Variable. Graphical Methods for Describing Two or More Variables. Numerical Methods for Describing Data. Distributions and Random Data. Inference from One Sample. Inferences on Means from Two Samples. Comparing Population Means: Analysis of Variance. Fundamentals of Linear Regression. Advanced Linear Regression. Analyzing Categorical Data. Analyzing Data with Nonparametric Methods. Total Quality Management Tools. Time Series Analysis. Presentation Graphics. III. Exploring Data. Appendixes. Appendix A: Reference Section. Appendix B: Session Command/Menu Command Equivalents..