Exploring, Analysing and Interpeting Data with Minitab 18

Exploring, Analysing and Interpeting Data with Minitab 18 PDF

Author: Michael D Akers

Publisher: Compass Publishing

Published: 2018-06-01

Total Pages: 260

ISBN-13: 1912009196

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This guide has been written to support all those who gather, analyse, and interpret data in the course of their work. The guide aims to remove some of the mystique surrounding statistics as well as showing how the techniques can be used to arrive at decisions in a logical data driven manner. This guide should be of interest and use to Six Sigma Green and Black Belts, Operations Scientists and Managers, Social Science Students and Practitioners as well as those involved in practical statistical analysis for many other reasons. For each technique this guide explains what the technique is and how it is used, it shows how to enter the data into MINITAB 18®, provides logical click-by-click instructions on how to execute each technique and explains how to interpret the results. The data files and example worksheets may be downloaded to aid the user.

Forecasting with Minitab

Forecasting with Minitab PDF

Author: Michael Akers

Publisher: Advanced Analytics Solutions LLP

Published: 2023-09-08

Total Pages: 102

ISBN-13: 1838053220

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Learn how to use Minitab's advanced forecasting features to make predictions.

Minitab Manual

Minitab Manual PDF

Author: Vukov

Publisher: Prentice Hall

Published: 2002-02-20

Total Pages: 196

ISBN-13: 9780130669223

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Integrates the statistical computing package MINITAB(tm) into an Introductory Statistics course, using Statistics by McClave/Sincich, 9/e.

Industrial Statistics with Minitab

Industrial Statistics with Minitab PDF

Author: Pere Grima Cintas

Publisher: John Wiley & Sons

Published: 2012-08-02

Total Pages: 420

ISBN-13: 1118383788

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Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented. Industrial Statistics with MINITAB: Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry. Explores statistical techniques and how they can be used effectively with the help of MINITAB 16. Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge. Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments. Is supported by an accompanying website featuring case studies and the corresponding datasets. Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. The book can also be used as quick reference enabling the reader to be confident enough to explore other MINITAB capabilities.

Minitab Handbook

Minitab Handbook PDF

Author: Barbara F. Ryan

Publisher: Duxbury Resource Center

Published: 1994

Total Pages: 554

ISBN-13:

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A must-have for statisticians using MINITAB software for exploring and analyzing statistical data. This classic book outlines the full range of MINITAB software. Through examples and step-by-step instructions on how to use MINITAB, it provides a general introduction and look at displays and summaries using both one variable and more complex sets of data.

Minitab Cookbook

Minitab Cookbook PDF

Author: Isaac Newton

Publisher: CreateSpace

Published: 2014-11-12

Total Pages: 338

ISBN-13: 9781503186514

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Over 110 practical recipes to explore the vast array of statistics in Minitab 17 Overview Gain an in-depth understanding of data formatting in Minitab Understand the steps required to generate great results with tools like regression, ANOVA, and multivariate statistics Useful and practical recipes that cover examples from a broad range of topics in Minitab In Detail Minitab has been a statistical package of choice across all numerous sectors of industry including education and finance. Correctly using Minitab's statistical tools is an essential part of good decision making and allows you to achieve your targeted results, while displaying fantastic charts and a powerful analysis will also communicate your results more effectively. "Minitab Cookbook" will take the mystery out of using Minitab and will simplify the steps to produce great results. This book will be hugely beneficial for anyone who knows what statistics or studies they want to run, but who is unsure about just what button to press or what option to select. In this book, you will learn how to use data from different sources and will be guided through the basics of graphs as well as the basics of hypothesis tests. You will explore the use of non-linear regression, how to construct complex ANOVAs, and even delve into Multivariate statistics. "Minitab Cookbook" is a great reference on how to create graphs, generate P-values, and how to put data in order. You will explore the basics of charts as well as into the complex depths of Factor analysis, and you will learn everything from the simplest of t-tests to the complexity of mixed model ANOVA. And finally, for all of you who want to write Macros, this book covers the use of Execs, Global, and Local Macros. What you will learn from this book Import data successfully into Minitab from Excel Explore the options for generating amazing charts Investigate differences between samples with inferential statistics Find the significant relationships in data by analyzing variance and using regression Work with control charts to view process variation Learn about Capability Analysis in Minitab for both normal and non normal data Find trends and seasonality in your data Apply Multivariate statistics to observe patterns and relationships across many variables Automate tasks using the Minitab Macro language Use Gage studies and MSA's to investigate measurement systems Approach This practical cookbook covers a broad range of topics in an easy-to-understand manner. Step-by-step instructions guide you through even the most complicated of tools in Minitab. Who this book is written for This book is great for anyone who is familiar with statistics and who wants to learn how Minitab works. Whilst you do not need to be an expert in all areas of statistics, you should understand the basics of the chapters you are interested in.

Problem Solving and Data Analysis Using Minitab

Problem Solving and Data Analysis Using Minitab PDF

Author: Rehman M. Khan

Publisher: John Wiley & Sons

Published: 2013-01-28

Total Pages: 715

ISBN-13: 1118307526

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Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.