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Found 9 results

  1. Q 656. An important input while working with control charts is to decide the sample size for monitoring. For e.g. - we could pick a sample of 1 item, 5 items, 20 items etc. How is this sample size decided? What happens if sample size is too low or too high? Note for website visitors - This platform hosts two weekly questions, one on Tuesday and the other on Friday. All previous questions can be found here: https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/. To participate in the current question, please visit the forum homepage at https://www.benchmarksixsigma.com/forum/. The question will be open until Tuesday or Friday at 5 PM Indian Standard Time, depending on the launch day. Responses will not be visible until they are reviewed, and only non-plagiarised answers with less than 5-10% plagiarism will be approved. If you are unsure about plagiarism, please check your answer using a plagiarism checker tool such as https://smallseotools.com/plagiarism-checker/ before submitting. All correct answers shall be published, and the top-rated answer will be displayed first. The author will receive an honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term. Some people seem to be using AI platforms to find forum answers. This is a risky approach as AI responses are error prone as our questions are application-oriented (they are never straightforward). Have a look at this funny example - https://www.benchmarksixsigma.com/forum/topic/39458-using-ai-to-respond-to-forum-questions/ We also use an AI content detector at https://crossplag.com/ai-content-detector/. Only answers with less than 15-20% AI-generated content will be approved.
  2. I am doing a project on Dmaic in a manufacturing company. They produce 32000 components a month. They dont find mean and standard deviation of that component. I want to determine sample size for that lot. How do I find sample size?
  3. Q 506. There is a golden rule of sampling - larger the sample size better it is. However, if your sample size is too large, it leads to Lindley's Paradox - Small errors in the null hypothesis are magnified when large data sets are analyzed, leading to false but highly statistically significant results. Illustrate this paradox by providing examples. What are the ways to avoid it? Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday. All questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ Please visit the forum home page at https://www.benchmarksixsigma.com/forum/ to respond to the latest question open till the next Tuesday/ Friday evening 5 PM as per Indian Standard Time. Questions launched on Tuesdays are open till Friday and questions launched on Friday are open till Tuesday. When you respond to this question, your answer will not be visible till it is reviewed. Only non-plagiarised (plagiarism below 5-10%) responses will be approved. If you have doubts about plagiarism, please check your answer with a plagiarism checker tool like https://smallseotools.com/plagiarism-checker/ before submitting. The best answer is always shown at the top among responses and the author finds honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term
  4. Q 268. 'The results are only as good as the sample' and hence it is imperative to select a good sample. What are the key considerations while sampling in order to get a good sample? Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday. All questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ Please visit the forum home page at https://www.benchmarksixsigma.com/forum/ to respond to the latest question open till the next Tuesday/ Friday evening 5 PM as per Indian Standard Time. Questions launched on Tuesdays are open till Friday and questions launched on Friday are open till Tuesday. The best answer is always shown at the top among responses and the author finds honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term
  5. Q. 169 How can you check if you have taken enough samples for carrying out a Regression Analysis? Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday. All questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ Please visit the forum home page at https://www.benchmarksixsigma.com/forum/ to respond to the latest question open till the next Tuesday/ Friday evening as per Indian Standard Time. The best answer is always shown at the top among responses and the author finds honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term.
  6. Q. 150 Using the Sample Size Calculator for 1 Sample T-Test at https://www.benchmarksixsigma.com/calculators/sample-size-calculator-for-1-sample-t-test, highlight the factors which affect the sample size determination by using some examples.  Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday. All questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ Please visit the forum home page at https://www.benchmarksixsigma.com/forum/ to respond to the latest question open till the next Tuesday/ Friday evening as per Indian Standard Time. The best answer is always shown at the top among responses and the author finds honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term.
  7. The significance of sample size comes from manufacturing. This meant that to check for the accuracy of output per machine you need to audit x sample. i.e If Machine A produces 60,000 units you may want to audit 360 approx. sample. But this sample size is good for 60,000 units if produced by A. However if 60,000 are produced collectively by A & B then what should be the sample size. The fact is if Machine A is 3 yrs old and Machine B is 6 years old. Should you - Audit 360 overall Base sample size basis individual production Divide 360 proportionately basis production The intent is to understand the impact of the variable on sample size. Also, do you recommend stratified sample rather than a random sample?
  8. Hello, How to calculate the sample size using minitab for the Green Belt Training practice project 1 & 2 (page # 14)? I tried Stat > Power and Sample Size > Sample Size for Estimation. Is this correct? Regards, Vinod
  9. Is there a method to calculate the sample Size to be audited where we receive approximately 200000 calls per month?
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