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Used when Six Sigma teams are analyzing measurement systems for go/no
go data.
Power
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1 - beta
Exponential Distribution
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The data is not organized around the mean as in the normal probability
curve, but at the end of the x-axis.
Hypothesis testing
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Lets Six Sigma experts draw conclusions about the population based on
statistical analysis of a sample.
Why calculate standard deviation?
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It gives you an idea of how much variation actually exists in a process while
taking outliers somewhat into account.
Sample Size Calculation for 2-Sample T Test
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, - Sample sizes
- Differences/delta
- Power values
- Standard deviation
- Significance level
- Alternative hypothesis
Failure Mode and Effects Analysis (FMEA)
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a systematic process for identifying potential design and process failures
before they occur, with the intent to eliminate them or minimize the risk
associated with them
Central Limit Theorem (CLT)
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States that the distribution of the mean of a large, identically distributed
number of independent variables will approximate the normal curve.
Alternative hypothesis
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The statement that something has changed or is statistically different.
, Muda of Conveyance
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Involves the movement of outputs, products, or resources.
E.g: If the glue that binds doll eyes to doll faces is kept in an inventory
room, and carried, as needed, to the process.
Muda of Motion
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How employees themselves move during a process.
E.g: The half a second it takes for data entry employees to toggle between
two windows could cost the company x amount of dollars depending on
salary.
DMAIC: Define
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Identify the problem, define requirements for the project, and set goals for
success.
Correlation