Probability Distribution Function
Über den Vortrag
Der Vortrag „Probability Distribution Function“ von Grey Campus ist Bestandteil des Kurses „Six Sigma Green Belt Training“. Der Vortrag ist dabei in folgende Kapitel unterteilt:
- Probability Distribution
- Poisson Distribution
- Chi-square Distribution
- t-Distribution
- F-Distribution
Quiz zum Vortrag
While calculating Z value for USL if you get Z as 2.5 what does it signify
- USL is 2.5 standard deviations away from the mean
- LSL is 2.5 standard deviations away from the mean
- The process will have a 2.5% error rate
- This is a six sigma process
Which distribution tables will you look up for checking probability values for Z
- Normal Distribution Tables
- F distribution Table
- Log table
- None of them
Which of the following is the correct definition of process capability
- The ability of a current process to meet customers requirement
- The ability of the designed process to meet customers requirement
- The future ability of a process to meet customers requirement
- None of them
As a Six Sigma Expert which of the following options will you use to report capability
- Z short term
- Z long term
- Combination of both
- None of them
Which of the following options will you use to calculate
- Add variances of individual data sets
- Combine all data points and calculate variance
- Multiply variances of individual data sets
- None of them
How will you calculate the PPM value
- Probability value for Z x 1000000
- Z x 1000000
- Z bench x 1000000
- None of them
While calculating process capability if we have used subgroup size as 1,what value of Z will you consider from Graphical Summary
- Overall Capability
- Within Capability
- Both
- None of the above
For discrete data, process capability is calculated in
- DPMO
- Z bench
- Z USL
- None of them
DPO stands for
- Defect per opportunity
- None of them
- Defective per opportunity
DPMO stands for
- Defect per million opportunity
- Defect per monthly opportunity
- Defective per monthly opportunity
- None of them
Which of the following is a correct definition of discrete variable
- Produced from the output of a counting process
- Variable that can be logically sub divided
- None of them
Which of the following options is a discrete distribution
- Binomial Distributions
- Poisson Distributions
- None of them
Which of the following are attributes of Binomial Distributions
- Outputs are independent of each other
- Output of the process has only two possible outcomes
- None of them
Box Cox transformation is used in which of the following circumstances
- Underlying reasons for non normality cannot be found
- When data is discrete
- None of them
Which of the following is the correct objective of sampling
- To draw conclusions about population based on a sample
- Shortcut to complete six sigma project
- None of them
Which of the following is not the right reason to do sampling
- Sampling is only way of completing six sigma project
- Collecting all data is impractical
- Collecting all data is not feasible in destructive testing
- Is not possible to collect all data in process industry
Types of Data are
- Count
- Discrete
- Continuous
- None of them
MSA is done
- To check operator –part interaction
- Check equipment
- To check operator
- None of them
To accept gage percentage contribution should be less than
- 2%
- 8%
- 10%
- 30%
Dozent des Vortrages Probability Distribution Function
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