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Showing results for tags 'discrete data'.
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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 t
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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 t
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Continuous Data, Attribute Data
Vishwadeep Khatri posted a question in We ask and you answer! The best answer wins.
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 -
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
