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1. What is range?: the difference between the highest and lowest scores in a distribution
2. The highest value is 30 and the lowest value is 10. What is the range?: 20
3. Why is standard deviation preferred over range?: Standard deviation takes into considera-
tion every value in a dataset
4. What does range and standard deviation help to measure in Six Sigma?: Process
variation
5. What is one downfall associated with range?: It only takes into account the most extreme
values in a dataset
6. What does the x axis on a control chart represent?: Time
7. What does the vertical line on a control chart represent?: The measurement of process
outputs (i.e. the number of defects or customer satisfaction score)
8. What is the center line of a control chart called?: The Target
9. What is the line below the Target on a control chart called?: The Lower Control Limit
10. What is it called when a sample result falls between the Upper Control Limit
and the Lower Control Limit on a control chart?: The process is in control
11. What does the upper line (Upper Control Limit) on a control chart represent?-
: The largest deviation above the target that would be acceptable in a process
12. What are the special properties of a standard deviation on a normal distrib-
ution curve (bell curve)?: 95% of the observations will occur within +/- two standard deviations from the
mean of the distribution
99.7% of the observations will occur within +/- three standard deviations from the mean of the distribution
13. Weight follows a normal distribution. If the average weight for men is 175
pounds, and the standard deviation is 20 pounds, then 95% of men weigh
between ________ and ________, and 99.7% of men weigh between ________ and
________.: 95% between 135 pounds and 215 pounds
99.7% between 115 pounds and 235 pounds
14. Where does Six Sigma get its name? (and definition): On a normal distribution, 99.9997%
of outcomes will fall within +/- 6 standard deviations from the mean
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Six Sigma Process is one that produces products or delivers services such that there are fewer than 3.4 defects per
million opportunities
15. Is it realistic for all companies to strive for Six Sigma? What is the general
quality target for most organizations?: No. The cost to get this near level of perfection would be
prohibitive to most companies. Four Sigma is generally the quality target for most organizations
16. What is the equation for Defects Per Unit (DPU)?: Total number of defects in a sample /
number of units sampled
17. In a sample of 50 orders processed, a single order had two wrong items.
What is the Defects Per Unit (DPU)?: 4 percent (2/50)
18. What is Rolled Throughput Yield? What does it mean if a process has an RTY
of 90%?: Likelihood that a process will complete all of the required steps without any failures or rejects. An RTY of
90% means there is a 90% likelihood that the process will be completed without failures
19. What is First Time Yield? What does an FTY of 75% mean?: FTY is the number of good
units produced divided by the number of total units that started through the process
If 100 people started a training process, but only 75 finished, the FTY would be 75%
20. What is the Distribution of Sample Means? How do the Sample Means clus-
ter?: the collection of sample means for all the possible random samples of a particular size (n) that can be obtained
from a population, following a normal distribution curve
The sample means cluster around the center of the distribution and cluster around the true, but unknown, population
mean
21. What is the Central Limit Theorem? How large must the sample size be?: 1.
the random sampling distribution of means will always follow a normal distribution curve, irrespective of the shape of
the population distribution from which the samples were drawn.
2. The random sampling distribution of means will become closer to normal as the size of the sample increases
3. the mean of the random sampling distribution of means is equal to the mean of the original population
Sample size must be at least 30 to follow a normal distribution
22. What is the formula for UCL and LCL?: UCL: Target + 3 * standard deviation / sample size
LCL: Target - 3 * standard deviation / sample size
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1. What is range?: the difference between the highest and lowest scores in a distribution
2. The highest value is 30 and the lowest value is 10. What is the range?: 20
3. Why is standard deviation preferred over range?: Standard deviation takes into considera-
tion every value in a dataset
4. What does range and standard deviation help to measure in Six Sigma?: Process
variation
5. What is one downfall associated with range?: It only takes into account the most extreme
values in a dataset
6. What does the x axis on a control chart represent?: Time
7. What does the vertical line on a control chart represent?: The measurement of process
outputs (i.e. the number of defects or customer satisfaction score)
8. What is the center line of a control chart called?: The Target
9. What is the line below the Target on a control chart called?: The Lower Control Limit
10. What is it called when a sample result falls between the Upper Control Limit
and the Lower Control Limit on a control chart?: The process is in control
11. What does the upper line (Upper Control Limit) on a control chart represent?-
: The largest deviation above the target that would be acceptable in a process
12. What are the special properties of a standard deviation on a normal distrib-
ution curve (bell curve)?: 95% of the observations will occur within +/- two standard deviations from the
mean of the distribution
99.7% of the observations will occur within +/- three standard deviations from the mean of the distribution
13. Weight follows a normal distribution. If the average weight for men is 175
pounds, and the standard deviation is 20 pounds, then 95% of men weigh
between ________ and ________, and 99.7% of men weigh between ________ and
________.: 95% between 135 pounds and 215 pounds
99.7% between 115 pounds and 235 pounds
14. Where does Six Sigma get its name? (and definition): On a normal distribution, 99.9997%
of outcomes will fall within +/- 6 standard deviations from the mean
, SSGI Yellow Belt Exam Rated A+ Brand New!!
Study online at https://quizlet.com/_i4zlw3
Six Sigma Process is one that produces products or delivers services such that there are fewer than 3.4 defects per
million opportunities
15. Is it realistic for all companies to strive for Six Sigma? What is the general
quality target for most organizations?: No. The cost to get this near level of perfection would be
prohibitive to most companies. Four Sigma is generally the quality target for most organizations
16. What is the equation for Defects Per Unit (DPU)?: Total number of defects in a sample /
number of units sampled
17. In a sample of 50 orders processed, a single order had two wrong items.
What is the Defects Per Unit (DPU)?: 4 percent (2/50)
18. What is Rolled Throughput Yield? What does it mean if a process has an RTY
of 90%?: Likelihood that a process will complete all of the required steps without any failures or rejects. An RTY of
90% means there is a 90% likelihood that the process will be completed without failures
19. What is First Time Yield? What does an FTY of 75% mean?: FTY is the number of good
units produced divided by the number of total units that started through the process
If 100 people started a training process, but only 75 finished, the FTY would be 75%
20. What is the Distribution of Sample Means? How do the Sample Means clus-
ter?: the collection of sample means for all the possible random samples of a particular size (n) that can be obtained
from a population, following a normal distribution curve
The sample means cluster around the center of the distribution and cluster around the true, but unknown, population
mean
21. What is the Central Limit Theorem? How large must the sample size be?: 1.
the random sampling distribution of means will always follow a normal distribution curve, irrespective of the shape of
the population distribution from which the samples were drawn.
2. The random sampling distribution of means will become closer to normal as the size of the sample increases
3. the mean of the random sampling distribution of means is equal to the mean of the original population
Sample size must be at least 30 to follow a normal distribution
22. What is the formula for UCL and LCL?: UCL: Target + 3 * standard deviation / sample size
LCL: Target - 3 * standard deviation / sample size
