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May 15, 2014 1:19 PM
(466 views)

I am trying to calculate the sample size required to assess a process improvement that is expected to reduce the proportion of high values of a final measurement by 15% to 30%. I would like to know the number of samples required such that the process improvement compared to historical results is detected with various levels of confidence (e.g., 90%, 95%, etc.). The historical data distribution I am working with is not continuous data (ordinal) and is not normally distributed. A distribution showing sample data is attached.

Can anyone help me with this? Thanks.

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May 15, 2014 3:36 PM
(375 views)

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May 15, 2014 4:13 PM
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