Vol. 12, No. 7
July 2010
PQ Systems
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Quality Quiz from Professor Cleary

We’ve been following Quinn Quip and his statistical travails for several months now, walking him through confidence intervals, sampling strategies, and even the binomial central limit theorem. Now he’s been inspired to pursue Green Belt status with Six Sigma, and has enrolled in a number of statistics classes that have given him more confidence than he really should have when it comes to using statistics to understand the processes at Quince’s Quality Quiche in Quincy and to improve his sales reach into the community.

Quip’s boss, Russ T. Buckett, has encouraged him with his various approaches to sampling. Last month, he discovered that if he took a random sample of 42 people and asked them their ages, he would get the desired accuracy. Buckett was impressed, and wonders now if there might be other types of sampling methods that would work better. “Oh, yes, of course,” Quip blurts out. “We can always do a quadruple binomial sample.” Although Quip had skipped the class that introduced sampling methods (he was home preparing fireworks), he feels that he knows as much as anyone about sampling by now. 

Should we proceed with this approach that Quip recommends, or do we conclude that he dreamed this new sampling technique up as he was lighting his fireworks?

a) Quinn Quip has picked up all the understanding he needs, and he should be encouraged to pursue quadruple binomial sampling.

b) He should really just check the index to his statistics textbook to see if there is any such thing as quadruple binomial sampling.


Click here for a more complete video explanation

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