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16 Cards in this Set

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when do you use a crossed gage r&r study?
same parts are tested by different operators
what is a gage r&r study?
it's a tool used for MSA, it can be used to analyze measurement system variation
when do you use a nested gage r&r study?
same parts are tested only by one operator
what is repeatability?
repeatability presents the chance that the same operator is measuring the same part with the same result
what is reproducibility?
reproducibility presents the chance that a different operator is measuring the same part with the same result
what do you look for when performing a gage r&r study
%Contribution (of VarComp) should be less than 1% but not higher than 9%
%StudyVar should be lower than 10% but not higher than 30%
how do you analyze a measurement system with variable data?
using a gage r&r study (nested or crossed)
how do you analyze a measurement system with attribute data?
using attribute gage study or attribute agreement analysis
what are the two possibilities for data sampling? (MSA)
population sampling - range oriented sampling
process sampling - process oriented sampling
How to determine the sample size for continuous data.
Tool: 1-Sample t
sample size - leave empty, that's what we want to know
differences: accuracy of the prediction (eg: 1 minute)
power values: standard is 0.8
standard deviation: s (eg 2.94)

the higher the power value the higher the required sample size will be.
How to determine the sample size for discrete data.
Tool: 1 Proportion
sample size: leave empty
alternative values of p: enter the highest acceptable value of process
power values: standard 0.8
hypothesized p: the goal of the process output (eg: 0.1 for 10% error rate)
Options: alternative hypothesis
What is Modus?
the most occuring value of a variable
What is Median?
the middle value of a sorted list
odd number of values: the middle value
even number of values: the average between the two middle values
list of values must be sorted!
What is Mean?
the average of all values
How to calculate the variance?
s²= 1/n-1[(n1-mean)²+...+(nx-meam)²]
How to calculate the standard deviation?
s=sqr(1/n-1[(n1-mean)²+...+(nx-meam)²])
or
s=sqr(s²) (s²=variance)