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

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

"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"--

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Khan, Rehman M.
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Chichester, West Sussex, United Kingdom : John Wiley & Sons Inc., 2013.
Θέματα:
Minitab.
Mathematical statistics > Data processing.
Problem solving > Statistical methods.
Six sigma (Quality control standard)
MATHEMATICS > Probability & Statistics > General.
Electronic books.
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Khan, Rehman M. 
245 1 0 |a Problem solving and data analysis using Minitab :  |b a clear and easy guide to six sigma methodology /  |c Rehman M. Khan. 
264 1 |a Chichester, West Sussex, United Kingdom :  |b John Wiley & Sons Inc.,  |c 2013. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
520 |a "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"--  |c Provided by publisher. 
588 0 |a Print version record and CIP data provided by publisher; resource not viewed. 
505 0 |a 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. 
505 8 |a 3.5 Inferential Statistics3.6 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. 
505 8 |a Chapter 6 Measurement System Analysis6.1 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. 
505 8 |a 7.2 Common Cause and Special Cause Variation7.3 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. 
505 8 |a 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. 
630 0 0 |a Minitab. 
630 0 4 |a Minitab. 
630 0 7 |a Minitab.  |2 fast  |0 (OCoLC)fst01358168 
650 0 |a Mathematical statistics  |x Data processing. 
650 0 |a Problem solving  |x Statistical methods. 
650 0 |a Six sigma (Quality control standard) 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Mathematical statistics  |x Data processing.  |2 fast  |0 (OCoLC)fst01012133 
650 7 |a Problem solving  |x Statistical methods.  |2 fast  |0 (OCoLC)fst01077917 
650 7 |a Six sigma (Quality control standard)  |2 fast  |0 (OCoLC)fst01119844 
655 4 |a Electronic books. 
655 0 |a Electronic books. 
655 7 |a Electronic books.  |2 local 
776 0 8 |i Print version:  |a Khan, Rehman M.  |t Problem solving and data analysis using Minitab.  |d Chichester, West Sussex, United Kingdom : John Wiley & Sons Inc., 2013  |z 9781118307571  |w (DLC) 2012035286 
856 4 0 |u https://doi.org/10.1002/9781118307502  |z Full Text via HEAL-Link 
994 |a 92  |b DG1 

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