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Rupinder N

Excellence Ambassador
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Everything posted by Rupinder N

  1. The chosen best answer is that of Natwar Lal for listing multiple scenarios when causality exists but still the X and Y may not show strong correlation. Amlan Dutt's answer is must read to get good insight on the topic. Benchmark expert view is provided by Venugopal R.
  2. Q. 169 How can you check if you have taken enough samples for carrying out a Regression Analysis? Please remember, your answer will not be visible immediately on responding. It will be made visible at about 5:00 PM IST/ 11:30 AM GMT/ 4:30 AM PST on 21st June 2019, Friday to all 53000+ members. It is okay to research various online sources to learn and formulate your answer but when you submit your answer, make sure that it does not have content that is copied from elsewhere. Plagiarized answers will not be approved (and therefore will not be displayed).  All Questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/  All rewards are mentioned here - https://www.benchmarksixsigma.com/forum/excellence-rewards/
  3. The chosen best answer is that of Amlan Dutt for the detailed explanation with data. Must read is Natwar's answer which is very detailed and accurate, too. To read the Benchmark expert view, refer to Venugopal's answer.
  4. The chosen best answer is that of Amlan for providing a clear answer in an interesting way. Here is the crux of the answer and why Kappa may lead us to make erroneous inferences. Read through the complete answer!
  5. Q. 167 While analyzing the XBar R Chart in Gage R&R Output, a sound measurement system will have more than 50% of the data points falling outside of the control limits. It is intuitively the reverse of what we want to see (data points to be inside the control limits for a well controlled process). Explain this seeming aberration. Please remember, your answer will not be visible immediately on responding. It will be made visible at about 5:00 PM IST/ 11:30 AM GMT/ 4:30 AM PST on 14th June 2019, Friday to all 53000+ members. It is okay to research various online sources to learn and formulate your answer but when you submit your answer, make sure that it does not have content that is copied from elsewhere. Plagiarized answers will not be approved (and therefore will not be displayed).  All Questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/  All rewards are mentioned here - https://www.benchmarksixsigma.com/forum/excellence-rewards/
  6. The chosen best answer is that of R Rajesh for clear definition and complete example. Read through Sreyash's answer to understand the paradox further.
  7. Q. 166 Kappa value is used to make inference about soundness of a Measurement System when Attribute Data is used. Kendall's coefficient is used to infer the soundness of Measurement System when ordinal Attribute Data is used. If one used Kappa value to make inferences for an Ordinal Attribute Data set, what errors are likely to happen?  Please remember, your answer will not be visible immediately on responding. It will be made visible at about 5:00 PM IST/ 11:30 AM GMT/ 4:30 AM PST on 11th June 2019, Tuesday to all 53000+ members. It is okay to research various online sources to learn and formulate your answer but when you submit your answer, make sure that it does not have content that is copied from elsewhere. Plagiarized answers will not be approved (and therefore will not be displayed).  All Questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/  All rewards are mentioned here - https://www.benchmarksixsigma.com/forum/excellence-rewards/
  8. The chosen best answer is that of Sreyash Sangam - PCE if looked at in isolation, may not give the complete picture about the process health. Please also read our expert view provided by Venugopal R.
  9. Q. 165 In statistics, causal relationships need to be examined carefully before making any inferences. Simpson's paradox is one of the phenomenon that is observed if such causal relationships are ignored. What is Simpson's Paradox? Explain with the help of examples.  Please remember, your answer will not be visible immediately on responding. It will be made visible at about 5:00 PM IST/ 11:30 AM GMT/ 4:30 AM PST on 07th June 2019, Friday to all 53000+ members. It is okay to research various online sources to learn and formulate your answer but when you submit your answer, make sure that it does not have content that is copied from elsewhere. Plagiarized answers will not be approved (and therefore will not be displayed).  All Questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/  All rewards are mentioned here - https://www.benchmarksixsigma.com/forum/excellence-rewards/
  10. Thank you Mohamed Asif and Sreyash for your suggestions. We value your inputs and will consider incorporating into the guide for selecting appropriate Hypothesis Test/s.
  11. Mohit Rawat's answer provides a clear and concise answer and, hence, is the chosen best. Read through Dr. Gautam.and Sreyash's answers for more examples. Benchmark expert view is provided by Venugopal.
  12. Steve C's answer is the chosen best answer as it explains the underlying concept of when to choose which calculation. Read through Ferdoz's answer to understand the calculation using an example.
  13. The chosen best answer is that of R Rajesh, because of the structure and detail. Each one of the answers, however, outlines some unique challenges that keeps practicing GBs away from Hypothesis Testing. Read through to get a well rounded understanding before you devise a plan on how to overcome these obstacles. If availability of software is one of them, use our calculators at https://www.benchmarksixsigma.com/calculators/ Our expert view is provided by Venugopal R
  14. The chosen best answer is that of Sandra as she has outlined how FMEA can be used in each phase of a DMAIC project. In addition, read answers from Steve C, Kev N to complete a rounded view of how FMEA can be used in all phases of DMAIC. Charlie's answer highlights the different FMEAs that can be used in a project and Sujata's answer clearly outlines what FMEA is and why it should be done.
  15. Q. 160 Hypothesis Testing - Business Success for any company depends on Continuous Improvement(CI) . CI requires creating hypothesis and testing them frequently. Most organizations create and test hypothesis (do trials for new ideas or carry on small experiments). For some reason, most professionals do not carry out statistical testing of hypothesis on sample data and tend to rely on gut feeling. It is seen that most Green Belt professionals do not use it while they have been trained on it. What are the key reasons for lack of use of this powerful family of statistical tests?  Please remember, your answer will not be visible immediately on responding. It will be made visible at about 4:00 PM IST on 21st May 2019, Tuesday to all 53000+ members. It is okay to research various online sources to learn and formulate your answer but when you submit your answer, make sure that it does not have content that is copied from elsewhere. Plagiarized answers will not be approved. (and therefore will not be displayed)  All Questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ All rewards are mentioned here - https://www.benchmarksixsigma.com/forum/excellence-rewards/
  16. There are multiple high-quality responses to this question that have indicated deep understanding, experience and maturity in Root Cause Analysis. The chosen best answer is that of Sujata Dhawase - Three perspectives for root causes and a clear example explaining the perspectives. For readers, there is a wealth of knowledge on root cause in many responses, some of the notable ones are mentioned below. - "Interaction between causes" by Steve C - "Contributing vs. Root Cause" by Steve C - "Minimum and sufficient causes that eliminate the problem" view by Kevin - "Economic Elimination" view by Kevin - Crisp definition by Stephen J - Detailed definition by Leanne - "Multiple causal chains" view by Paul - "Scope of control" view by Chris- - "Influential factors" approach by R Rajesh - "Controlled Experiments" approach by Ransingh - "CNX Classification" by Prashanth Datta - "Primary root cause" concept by Chitra - "Actionability requirement" by Parsa - "Contributing cause" by Girish Vasan - "Practical Significance" view by Padmanabhan
  17. The chosen best answer is that of Sreyash. Do read through each of the answers as every answer has a piece of information to offer. For Benchmark Expert view, please read Venugopal's answer.
  18. You want output Y to improve and are looking for X that influences Y. Share examples when the outcome of a hypothesis test indicates statistical significance with respect to impact of X on Y but does not warrant a change in X
  19. The most common use of Attribute Agreement Analysis (AAA) is in evaluation of agreements in quality checks. In what other situations can you use AAA to your benefit?
  20. Assuming that you have a data set that follows normal distribution, give examples of how you could use probability distribution to make predictions for the outcome of some business processes.
  21. Q. 156 Activity-based costing (ABC) is a way of accounting which identifies and assigns costs to overhead activities. These costs are in turn assigned to products. Cite examples where using such a way of accounting has clear advantages and cite examples where using this method creates complications. Please remember, your answer will not be visible immediately on responding. It will be made visible at about 5 PM IST on 3rd May 2019, Friday to all 53000+ members. It is okay to research various online sources to learn and formulate your answer but when you submit your answer, make sure that it does not have content that is copied from elsewhere. Plagiarized answers will not be approved. (and therefore will not be displayed)  All Questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ All rewards are mentioned here - https://www.benchmarksixsigma.com/forum/excellence-rewards/
  22. Please refer to the Benchmark Expert view to get a clear picture of usage of Central Limit Theorem.
  23. It is necessary to have secondary metrics when we drive Six Sigma projects so that we are not solving one problem and creating another. In other words, we wouldn't be solving problems but they would just be changing shape. There could be several examples where the project fails despite improvement in the primary metric. Let's see a few here - 1. Customer Satisfaction increases but handling time increases 2. Order to ship time decreases but wrong deliveries increase 3. Order processing time of a certain component decreases but field failures increase 4. First Call Resolution increases but Handle Time also increases 5. A hair color that starts lasting longer but more users report damaged hair 6. Oil paints that dry faster but the pigments fade away faster. Please read the expert view given by Venugopal.
  24. Q. 155 Explain the practical application of Central Limit Theorem while collecting and analyzing data. Provide a few practical examples to support your responses. Please remember, your answer will not be visible immediately on responding. It will be made visible at about 5 PM IST on 30th April 2019, Tuesday to all 53000+ members. It is okay to research various online sources to learn and formulate your answer but when you submit your answer, make sure that it does not have content that is copied from elsewhere. Plagiarized answers will not be approved. (and therefore will not be displayed)  All Questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ All rewards are mentioned here - https://www.benchmarksixsigma.com/forum/excellence-rewards/
  25. Please read the question and Benchmark's expert view to get a couple of examples. If you would like to contribute more examples, let us know!
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