MINITAB Applications in Six Sigma Agenda 13:00-13:30 Registration 13:30-14:20 MSA-MINITAB 14:20-14:30 Break 14:30-15:20 SPC-MINITAB 15:20-15:30 Break 15:30-16:20 Case study (Healthcare & Banking) 16:20-16:30 Q&A July 14‚ 2006 in Taipei MSA-MINITAB Application in (Measurement Systems Analysis‚ MSA) Measuring System. What is a Measuring System? •The measuring device (Repeatability) •The person who is taking the measurement (Reproducibility) 3 Measurement Process The ideal measurement
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MINITAB CODE for Modern Engineering Statistics (1) P. 12 Lag plot commands Such a plot can be produced in MINITAB with the following sequence of commands. MTB>LAG C1 C2 MTB>PLOT C1*C2 (2) P. 13 (Figure 1.5) Code to produce Figure 1.5: MTB >SET C10 DATA> 1:49. DATA>END MTB>SET C1 DATA> ........ DATA>SET C2 DATA> .... .... DATA>END
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© 2010 by Minitab‚ Inc. All rights reserved. ® ® ® Release 16.1.0 Minitab ‚ the Minitab logo ‚ Quality Companion by Minitab and Quality Trainer by Minitab® are registered trademarks of Minitab‚ Inc. in the United States and other countries. Capability Sixpack™‚ Process Capability Sixpack™‚ ReportPad™‚ and StatGuide™ are all trademarks of Minitab‚ Inc. Six Sigma® is a registered trademark and service mark of Motorola‚ Inc. All other marks referenced remain the property of their respective owners
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* Using MINITAB * Graphics * Shapes of Distributions * Descriptive Statistics * Empirical Rule Data in MINITAB * MINITAB is a powerful‚ yet user-friendly‚ data analysis software package. You can launch MINITAB by finding the icon and double clicking on it. After a moment you will see two windows‚ the Session Window in the top half of the screen and the Worksheet or Data Window in the bottom half. * Data have already been formatted and entered into a MINITAB worksheet
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Regression Analysis: IBI versus Area The regression equation is IBI = 52.9 + 0.460 Area Predictor Coef SE Coef T P Constant 52.923 4.484 11.80 0.000 Area 0.4602 0.1347 3.42 0.001 S = 16.5346 R-Sq = 19.9% R-Sq(adj) = 18.2% Analysis of Variance Source DF SS MS F P Regression 1 3189.3 3189.3 11.67 0.001 Residual Error 47 12849.5 273.4 Total 48 16038.8 Unusual Observations Obs Area
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Chapter 8 Interval Estimation Case Problem 1: Young Professional Magazine 1. Descriptive Statistics for the quantitative variables follow: Variable N Mean SE Mean StDev Minimum Maximum Skewness Age 410 30.112 0.199 4.024 19.000 42.000 -0.03 Investments 410 28538 781 15811 0.000 133400 1.71 Transactions 410 5.973 0.153 3.101 0.000 21.000 1.21 Household Income 410 74460 1720 34818
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• Compare the two cases in terms of methods‚ costs (if applicable)‚ and effectiveness of the outcomes (3 points). Both cases are a form of an alert identification subsystem belonging to the parent HELP System. Furthermore‚ both cases did not explicitly state vocabulary and ontology used. However‚ I can infer based on my knowledge in the field now that diseases‚ diagnoses‚ laboratory and procedures follow ICD 10‚ SNOMED‚ LOINC and CPT ontology for coding and that interoperability is achieved by
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Case Study Case study methods involve Systematically gathering enough information about a particular person‚ social setting‚ event‚ or group to permit the researcher to effectively understand how it operates or functions. Case studies may focus on an individual‚ a group‚ or an entire community and may utilize a number of data technologies such as life stories‚ documents‚ oral histories‚ in-depth interviews‚ and participant observation. Types of case studies Stake (1995) suggests that researchers
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Introduction to Case Study by Winston Tellis+ The Qualitative Report‚ Volume 3‚ Number 2‚ July‚ 1997 (http://www.nova.edu/ssss/QR/QR3-2/tellis1.html) -------------------------------------------------------------------------------- Abstract This paper is the first of a series of three articles relating to a case study conducted at Fairfield University to assess aspects of the rapid introduction of Information Technology at the institution. This article deals with the nature of the problem
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Case Study Presenting a case to a teacher is same as presenting it in front of a jury. You need to have structured and solid arguments to convince the jury (teacher‚ in your case) and prove your point. If you are an excellent lawyer‚ you can even convince the jury that your defendant is not guilty even if he is (not ethical‚ of course). The bottom line is: you need to structure your case analysis. Although every case analysis more or less follows the same pattern; there is a slight variation depending
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