Re: quality control
- From: Richard Ulrich <Rich.Ulrich@xxxxxxxxxxx>
- Date: Sun, 12 Nov 2006 23:28:27 -0500
On 12 Nov 2006 17:00:04 -0800, "Frank" <deps_bear@xxxxxxxxx> wrote:
If I know a product fails .01% of the time and I have 1500 items I'm
running through a process. How many items do I need to check with,
say, 99% confidence that all the items are built correctly.
How many failures do you expect? Almost always, zero.
This is dealing with exact probabilities. For a higher failure
rate, you might want to look at the p of success, and raise
to a power, e.g., (.9999)^n . For the tiny p of 0.01%,
the figuring can be pretty much additive
You want to have only so many items *unchecked* that there
will be, on the average, only 1 bad item in 100 samplings --
so that 99 times out 100, there will be none.
You expect 1 failure in 10,000. One hundred samplings
that each fail to test 100 items will meet that condition.
So you need to check 1400 of each 1500.
--
Rich Ulrich, wpilib@xxxxxxxx
http://www.pitt.edu/~wpilib/index.html
.
- Follow-Ups:
- Re: quality control
- From: David Winsemius
- Re: quality control
- From: Frank
- Re: quality control
- References:
- quality control
- From: Frank
- quality control
- Prev by Date: Re: quality control
- Next by Date: Re: quality control
- Previous by thread: Re: quality control
- Next by thread: Re: quality control
- Index(es):
Relevant Pages
|