repeatability study - Business Performance Improvement (BPI)

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September 28, 2014December 5, 2020 bizpi

Don’t waste time on a full Gage R&R study until the data says you are ready

We support a lot of small volume manufacturing facilities (delivering low rate, high complexity products), which presents different challenges for

Lean Six Sigma Bursts

Lean Six Sigma Bursts

We share our takes and thoughts on a variety of topics related to process improvement (specifically Lean and Six Sigma methods), Bursts are rapid improvement activities, so this sounded like a good word to use for these short audio clips. We’ll try to keep them under 5 minutes each.

The following was a clip from a recent presentation, where I discuss how hypothesis testing can help you draw more statistically valid conclusions from data, and avoid misleading or incorrect conclusions.

I share two examples. The first was a data set from the Denver Sheriff's Department, where they graphed and analyzed intake use of force incidents, but their conclusions don't seem to match the graphic.

The 2nd example was data I pulled for a nonprofit I ran that showed the day of the week and time of day had no impact on click through rates on our monthly email newsletter.

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Podcast Sponsor: Creative Safety Supply is a great resource for free guides, infographics, and continuous improvement tools. I recommend starting with their 5S guide. It includes breakdowns of the five pillars, ways to begin implementing 5S, and even organization tips and color charts. From red tags to floor marking; it’s all there. Download it for free at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠creativesafetysupply.com/5S⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
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E118: Real-life Examples of Hypothesis Testing

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