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Six Sigma Case Studies with Minitab®
What happens when one of the most widely used quality improvement methodologies meets the world’s leading statistical software for quality improvement? Packed with case studies in a variety of sectors, including health care, manufacturing, airlines, and fast food restaurants, Six Sigma Case Studies with Minitab® shows you how to maximize the quality analysis and improvement tools available in Minitab® for your Six Sigma projects. Highly illustrated, the book includes detailed steps and more than 380 screenshots that explain how to use: Confidence Interval Estimation Hypothesis Testing Chi-Square Analysis Process Capability Analysis Binary Logistic Regression Item Analysis Cluster Analysi...
The Student Guide to Minitab Release 14
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.
Doing Data Analysis with Minitab 14
This text provides clearly written and comprehensive tutorials that allow introductory students of statistics to learn how to use MINITAB(TM) software to their full advantage. The book's tutorials and exercises demonstrate MINITAB as a way to understand statistical concepts and practice statistical reasoning. All datasets are real and reflect a variety of subject areas, including business, social sciences, physical sciences, life sciences, humanities, engineering, and general interest.
The Student Edition of Minitab
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.
Business And Financial Statistics Using Minitab 12 And Microsoft Excel 97
The personal computer has made statistical analysis easier and cheaper. Previously, statistical analysis was difficult for many reasons. Two of the reasons were: (1) statistical analysis was slow and tedious because calculations were done by hand; (2) it was costly because it was done on mainframes and mainframe time was expensive.This book discusses statistical analysis using two personal computer software packages, Minitab 12 and Microsoft Excel 97. Minitab was chosen because it is powerful and is one of the more user-friendly statistical software packages. Microsoft Excel 97 was selected because it is one of the most important software packages to learn and most companies use Microsoft Ex...
Quantitative Data Analysis with Minitab
Explains statistical tests for Minitab using the same formulae-free, non-technical approach as the very successful SPSS version. Social science students will welcome this integrated, non-mathematical introduction.
Business Forecasting
This top-selling book presents, in a straightforward, application-driven manner, the basic statistical techniques necessary for preparing individual business forecasts and long-range plans. The emphasis is on the application of techniques by management for decision-making. This essential book provides understandable coverage of several important topics, often omitted from other books, including econometrics; autocorrelation analysis and the use of Box-Jenkins techniques; judgmental forecasting techniques; and the means of selecting the correct forecasting technique and analyzing data. The book also reviews statistical concepts prior to introducing material that requires an understanding of those concepts. The sixth edition of Business Forecasting has been revised to include instructions on using Excel spreadsheets and the statistical package MINITAB in forecasting. An essential reference for every professional in a business of any size, from large corporations to small family-run firms.
