Problem solving and data analysis using Minitab : a clear and easy guide to six sigma methodology / Rehman M. Khan.

Format:

Book

Author/Creator:

Khan, Rehman M.

Language:

English

Subjects (All):

Mathematical statistics--Data processing.

Mathematical statistics.

Problem solving--Statistical methods.

Problem solving.

Six sigma (Quality control standard).

Minitab.

Physical Description:

1 online resource (485 p.)

Edition:

1st ed.

Place of Publication:

Chichester, West Sussex, U.K. : Wiley, 2013.

Summary:

"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"-- Provided by publisher.

Contents:

Cover; Title Page; Copyright; Contents; Acknowledgements; Chapter 1 Introduction; Chapter 2 Minitab Navigation; 2.1 Windows; 2.2 Dropdown Menus; 2.3 Importing Data; 2.4 Column Formats; 2.5 The Calculator; 2.6 Basic Graphs; 2.7 Adding Detail to Graphs; 2.8 Saving Graphs; 2.9 Dotplots; 2.10 Using the Brush; 2.11 Boxplots; 2.12 Bar Charts; 2.13 The Layout Tool; 2.14 Producing Graphs with the Assistant; 2.15 Producing Reports; 2.16 Creating a New Project/Worksheet Button; Chapter 3 Basic Statistics; 3.1 Types of Data; 3.2 Central Location; 3.3 Dispersion; 3.4 Descriptive Statistics

3.5 Inferential Statistics 3.6 Confidence Intervals; 3.7 Normal Distribution; 3.8 Deviations from Normality; 3.9 Central Limit Theorem; Chapter 4 Hypothesis Testing; 4.1 The Problem Statement; 4.2 Null and Alternate Hypotheses; 4.3 Establishing the Risks; 4.4 Power and Sample Size; 4.5 Conducting the Test and Evaluating the Results; 4.6 One Sample t Test; 4.7 Paired t Test; 4.8 Two Variance Test; 4.9 Two Sample t Test; Chapter 5 Analysis of Variance; 5.1 How ANOVA Works; 5.2 One Way ANOVA (Classic); 5.3 One Way ANOVA with the Assistant; 5.4 ANOVA General Linear Model

Chapter 6 Measurement System Analysis 6.1 The Importance of Measurement Systems; 6.2 How Measurement Systems Affect Data; 6.3 Analysing the Appropriate Systems; 6.4 Types of Measurement Systems Error; 6.5 Measurement Systems Toolbox; 6.6 Type 1 Gage Study; 6.7 Gage Repeatability and Reproducibility Studies; 6.8 Create Gage R&R Study Worksheet; 6.9 Gage R&R (Crossed); 6.10 Gage R&R Crossed Studies; 6.11 Gage R&R (Crossed) Study; 6.12 Gage R&R (Nested); 6.13 Gage Bias and Linearity Study; Chapter 7 Statistical Process Control; 7.1 The Origins of Statistical Process Control

7.2 Common Cause and Special Cause Variation 7.3 Detection Rules for Special Causes; 7.4 False Alarms; 7.5 When Should We Use SPC Charts?; 7.6 Subgrouping; 7.7 The Appropriate Chart; 7.8 The I-MR Chart; 7.9 The Xbar-R Chart; 7.10 The Xbar-S Chart; 7.11 SPC Exercise; 7.12 The I-MR-R/S Chart; Chapter 8 Process Capability; 8.1 The Basics of Process Capability; 8.2 Short Term and Overall Capability; 8.3 Capability Analysis for Normal Data; 8.4 Capability Analysis for Non Normal Data; 8.5 Capability Comparison using the Assistant; Chapter 9 Correlation and Regression

9.1 What are Correlation and Regression? 9.2 Correlation; 9.3 Multiple Correlations; 9.4 Introduction to Regression; 9.5 Single Predictor Regression; 9.6 Introduction to Multiple Predictor Regression; 9.7 Multiple Predictor Regression; 9.8 Predictor Selection Procedure; 9.9 Nonlinear Regression; Chapter 10 Design of Experiment; 10.1 Why Use Design of Experiment?; 10.2 Types of DOE; 10.3 DOE Terminology; 10.4 Two Level Factorial Designs; 10.5 Fractional Factorial Designs; Chapter 11 Help; 11.1 Help Overview; 11.2 Help! Help!; 11.3 Tutorials; 11.4 StatGuide; 11.5 Methods and Formulas

11.6 Meet Minitab

Notes:

Includes index.

Description based on print version record and CIP data provided by publisher; resource not viewed.

ISBN:

9781118307502

111830750X

9781299188686

1299188680

9781118307533

1118307534

9781118307526

1118307526

OCLC:

827208012