Introduction to DFSS FMEA Normal Curve
About the Lecture
The lecture Introduction to DFSS FMEA Normal Curve by Grey Campus is from the course Six Sigma Green Belt Training. It contains the following chapters:
- Introduction to DFSS, FMEA and Normality
- DMAIC & DMADV
- Desgin for Six Sigma
- DMADOV
- Normal Distribution and Six Sigma Curve
- Sepcification Limits
- Normality
Included Quiz Questions
"Competitors are our Customers". Is this statement Correct ?
- TRUE
- FALSE
A characteristic of the normal curve is expressed as – “the area under the curve represents virtually 100% of the output the process is capable of producing”. Which characteristic does this describe?
- Totality
- Symmetry
- Centering
- Infinity
A characteristic of the normal curve is expressed as – “the curve can be divided in half with equal pieces falling either side of the most frequently occurring value”. Which characteristic does this describe?
- Symmetry
- Totality
- Centering
- Infinity
A characteristic of the normal curve is expressed as – “the curve theoretically never touches zero”. Which characteristic does this describe?
- Infinity
- Symmetry
- Totality
- Centering
A characteristic of the normal curve is expressed as – “the peak of the process represents the center of the process”. Which characteristic does this describe?
- Centering
- Symmetry
- Totality
- Infinity
For an Anderson-Darling normality test performed with certain data, the p-value is 0.029. What does this indicate?
- Date set is not normal
- Data set is normal
- Can’t say
- Need more information
The area under the normal curve can be expressed as
- 1
- Probability of an event
- The equivalent of Yield
- All of the above
The total area under the normal curve between + 1 standard deviations and Target is:
- 0.341
- 0.682
- 0.954
- 0.997
The total area under the normal curve between +/- 2 standard deviations is:
- 0.954
- 0.341
- 0.682
- 0.997
The total area under the normal curve between +/- 3 standard deviations is:
- 0.997
- 0.341
- 0.682
- 0.954
For perfectly Normal data
- Mean is equal to median
- Mean is equal to standard deviation
- Standard Deviation is equal to zero
- None of the above
Box Cox is advised as a last resort because
- Difficult to translate to the physical world
- it is a very complex tool
- Does not relate to Normality
- To be used for designing only
A random sample is selected from a population of measurements. The mean of the sample is not equal to the mean of the population. This is due to:
- the population is not normal
- Type I error
- Type II error
- sampling error
- measurements were not exact
In a normally distributed curve which of the following statements are false?
- 100% of the population will lie between +- 3 sigma
- 68% of population will lie between +- 1 sigma
- 95% of population will lie between +- 2 sigma
- 99.73% of population will lie between +- 3 sigma
In the graphical analysis if the kurtosis value comes out as zero what will be your interpretation?
- The distribution has a normal peak
- The distribution is flatter than normal
- The distribution is sharper than normal
- None of the above
For an Anderson-Darling normality test performed with certain data, the p-value is 0.45. What does this indicate?
- Data set is normal
- Date set is not normal
- Can’t say
- Need more information
In DMADV,V Stands for ?
- Verify
- Variation
- Value
- Validation
A process FMEA is used to
- ask how people, materials, equipment, methods and environment create process problems
- ask how can the product fail
- Both
- Neither
In an FMEA, Occurrence is
- an assessment of the likelihood that a particular cause will happen and result in the failure mode
- an adverse consequence that the customer might experience
- a description of the ways in which the process could fail to perform its desired function
- the mechanism that prevent the cause of the failure mode from occurring
In an FMEA, the Risk Priority Number is calculated by multiplying the severity, occurrence and detection numbers. RPN tells us
- Which risks rank the highest and should be worked on first
- Which risk the customer thinks is highest
- The percentage of risk contributed by that factor
- How to document each particular task
Author of lecture Introduction to DFSS FMEA Normal Curve
Grey Campus
Customer reviews
5,0 of 5 stars
| 5 Stars |
|
5 |
| 4 Stars |
|
0 |
| 3 Stars |
|
0 |
| 2 Stars |
|
0 |
| 1 Star |
|
0 |
Excerpts from the accompanying material
... likely to occur, DET = How probable is detection of cause, RPN = Risk priority number in order to rank concerns; calculated as SEV x OCC x DET Process step Potential failure mode Potential failure effects SEV Potential causes OCC Current process controls DETRPN Actions recommended Responsibility (target date) Actions taken New SEV New OCC New DET New RPN What is the step? In what ways can the step go wrong? What is the impact on the customer if ...
