Jump to content
Click here to know about CAISA - Certified AI Solution Architect ×

Search the Community

Showing results for tags 'discrete data'.

  • Search By Tags

    Type tags separated by commas.
  • Search By Author

Content Type


Forums

  • Engage and Learn
    • We ask and you answer! The best answer wins!
    • You ask application questions here.
    • Debate Halls
  • Foundations of Lean Six Sigma
    • Lean Six Sigma for Beginners
    • Lean Six Sigma applicability in Industry Sectors
  • AI Solutions Hub
    • Certified AI Programs
    • AI Tools and Platforms
    • Latest in AI
  • Practitioner's Arena
    • Discussion Forum for Practitioners
    • Master Black Belt and its competencies
    • Debate : For or Against
    • Six Sigma Practice Project - all updates
  • Suport and Guidance
    • Post Workshops Guidelines
    • Career & Project Discussions
    • Lean Six Sigma Discussions
  • Training and Development
    • Discussions related to Green Belt, Black Belt, Lean Practitioner & Lean Guide
    • Right Sequence for Training and Projects
    • Refresh your basics on data analysis
  • Additional Resources
    • Benchmark Six Sigma Cartoon Strip
    • Bench and Mark Cartoons
    • Fun and Trivia
    • Coronavirus forecasts
  • Articles from across the Globe
  • Benchmark Six Sigma Insights
    • About Us, Services, Recognition, Network, Support
  • You ask and we answer!

Categories

  • Process Excellence
  • Data Driven Decision Making
  • Debate

Blogs

  • Interviews
  • Vishwadeep Khatri's Blog

Categories

  • Participants Support- General
  • Open Forum- General
  • Basic Maths for Six Sigma
  • Training Brochures
  • Black Belt Pre-Study Material & Exercise Content
  • Green Belt Pre-Study Material & Exercise Content
  • Dorf Ketal Green Belt Pre-Study Material & Exercise Content
  • Kidambi - Black Belt Pre-Study Material & Exercise Content
  • Willis Tower Watson Black Belt Exercise Content Copy
  • Online Green Belt
  • Online Black Belt

Calendars

There are no results to display.

There are no results to display.


Find results in...

Find results that contain...


Date Created

  • Start

    End


Last Updated

  • Start

    End


Filter by number of...

Joined

  • Start

    End


Group


Name


Company


Designation


BB Score

Found 9 results

  1. Q 694. In DOE, generally the response variable is continuous data. Can DOE be executed when we have discrete data? Highlight the limitations or risks in working with Discrete data DOE. Provide some examples where it can be used. 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. Q 525. What are the charts used for graphical summary of Discrete data? Are there any specific use cases where only a particular chart is used while others cannot be used? Participant providing maximum number of relevant use cases will be considered as the winner. 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
  3. Q 527. Sigma Shift of 1.5 is used while calculating the short term capability of discrete data. Why is this approximation usually unsuitable for continuous data? 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 472. Some professionals claim that "Sigma Level for a process cannot be calculated if there are zero defects". Is that a correct statement? Explain your response using continuous data as well as discrete data. 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
  5. Q 404. What is Poisson Distribution and how can it help us analyze the data? Quote some examples from your work area where data follows this distribution. 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
  6. Q 82. Quiz on Continuous and Discrete Data - This is a multiple choice question carrying 100 points for the right answer. Flash quiz closes in four hours - 7 PM IST on 8th March 2018. 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. While continuous data is generally preferred over discrete data, please indicate circumstances where discrete is the preferred data type although continuous data is available for the same characteristic. 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. 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.
  8. Q4 in Episode 2 - While continuous data is measured and attribute data is counted, there is sometimes confusion if some specific dataset should be considered continuous or attribute. Provide some examples of confusing datasets and your inference. 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. 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.
  9. Hi All I need advise on a project that I am about to start. I have undergone GB training. Background: I work for an NGO BPO called Samasource that provides digital work to people across the world. We mostly deal with discrete data. Tasks are provided to agents and then these tasks are reviewed by reviewers who mark them correct or incorrect. The project: Currently, the reviewers check 100% of the tasks completed by the agents. Our quality threshold is 95%, We would like to know by how much we can reduce the review % but still achieve 95% quality. Assumptions: All background work is done - reviewers are calibrated, agents are well trained, non-performers are removed. With all things set, how will I know how much review the reviewers need to do in order to achieve the 95% threshold? Regards Surabhi
×
×
  • Create New...