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Six Sigma 2017 > QOM 2017 - Six Sigma - Test 2013A > Flashcards

QOM 2017 - Six Sigma - Test 2013A Flashcards

1
Q 
The DMAIC is:
A. A toolbox
B. A statistical method
C. A managerial technique
D. None of the previous ones
A

D. None of the previous ones

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2
Q

When analyzing a bivariate data set
A. If the correlation is very high, it is correct to estimate the regression line
B. the higher the correlation, the lower the probability of predicting one by the other
C. it is not advisable to use the scatter plot
D. one variable is a cause, and the other is the effect

A

A. If the correlation is very high, it is correct to estimate the regression line

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3
Q 
The sample size should be
A. At least 5% of the population size
B. At least 10% of the population size
C. At least 20% of the population size
D. None of the above
A

D. None of the above

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4
Q

When doing hypothesis testing, one would like to find out
A. The probability of having observed the sample, given that the null hypothesis is true.
B. The probability that the null hypothesis is true, given the observed sample.
C. The probability of having observed the sample, given that the alternative hypothesis is true.
D. The probability that the alternative hypothesis is true, given the observed sample

A

A. The probability of having observed the sample, given that the null hypothesis is true.

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5
Q 
The most important task in Define-phase is to create a common understanding of the problem. What is not recommended to use early?
A. AIM
B. Effective scoping
C. VSM
D. DOE
A

D. DOE

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6
Q

In data measurement we need precision and accuracy. What are they?
A. Precision and accuracy express the same thing
B. Precision means high bias, accuracy means high repeatability
C. Precision means that data are close to each other, accuracy means that data are close to target (true value)
D. Precision mean low bias, accuracy means high repeatability.

A

C. Precision means that data are close to each other, accuracy means that data are close to target (true value)

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7
Q

A time series is
A. a plot with control limits
B. a sequence of time data
C. a plot used to show that data are serially correlated
D. a plot used when we have collected data along the time

A

D. a plot used when we have collected data along the time

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8
Q 
If X is a random variable distributed according to a normal model with mean μ and standard deviation σ, which of the following probability is the closest for observing values of X outside the interval [μ-2σ; μ+σ]?
A. 0.005
B. 0.95
C. 0.181
D. 0.362
A

C. 0.181

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9
Q

Do Six Sigma projects deal only with normally distributed data?
A. No, the statistical software can also handle non-normal distributions
B. Yes, because even attribute data can be transformed into normally distibuted data
C. Yes, because of the central limit theorem
D. Not necessarily

A

D. Not necessarily

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10
Q

How will the confidence interval be affected when a higher confidence level is used, for example, using 99% instead of 95%?
A. The confidence interval will become wider
B. The confidence interval will become narrower
C. The confidence interval will not be affected
D. None of the above

A

A. The confidence interval will become wider

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11
Q

A sample of 20 units are taken for testing the mean of the bottle’s weight using a significance level of 5% (alpha=5%). When the sample size is doubled (n=40),
A. Type I error (alpha) will decrease, type II error (beta) will increase
B. Type I error (alpha) will increase, type II error (beta) will decrease
C. Type I error (alpha) remains the same, type II error (beta) will decrease
D. Both type I error (alpha) and type II error (beta) remain the same

A

C. Type I error (alpha) remains the same, type II error (beta) will decrease

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12
Q

Which of the following statement concerning confidence interval is correct?
A. It depends on the null hypothesis
B. An interval which may contain the population mean
C. An interval where the population mean is
D. It does not depend on the sample size

A

B. An interval which may contain the population mean

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13
Q

In a Gage R&R study we would not like to find:
A. Low repeatability and low reproducibility
B. Repeatability higher than reproducibility
C. Causes of poor reproducibility
D. Too many measurements were necessary

A

A. Low repeatability and low reproducibility

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14
Q

According to the measurement theory, the true value
A. is generally known
B. cannot be replaced by a reference value
C. is found through the measurement process
D. is unknowable

A

D. is unknowable

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15
Q

The Box-Whiskers plot:
A. was invented by George Box and Stuart Whiskers
B. owes its name to its shape
C. does not give an idea of data distribution
D. shows only data dispersion, not location

A

B. owes its name to its shape

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16
Q

Reproducibility and Repeatability
A. express the same thing, i.e. measurement variation
B. are two different components of measurement variation
C. the former is bigger than the latter in terms of measurement noise
D. are two main causes of process variation for well calibrated measurement systems

A

B. are two different components of measurement variation

17
Q

When would you say that a number in a data set is an outlier?
A. When it is out of the control limits
B. When it lies distant from the most part of data distribution
C. When it is not aligned with the regression line
D. When it is out of the box in the Box-Whiskers plot

A

B. When it lies distant from the most part of data distribution

18
Q

A control chart can be utilized:
A. When we want to put limits to the process variation
B. When we assume that the process is stable
C. When the specification limits are too restrictive
D. When we do not have specification limits

A

B. When we assume that the process is stable

19
Q

Which of the following statement is correct concerning p-value?
A. It is dependent on the null hypothesis, but not the sample size
B. It is dependent on the sample size, but not the null hypothesis
C. It is dependent on both the null hypothesis and the sample size
D. None of the above

A

C. It is dependent on both the null hypothesis and the sample size

20
Q

When one uses a low alpha (type I error), for example, 1% instead of 5%
A. Beta (type II error) will decrease
B. The power of the test will decrease
C. The value of the beta (type II error) will not be affected
D. None of the above

A

B. The power of the test will decrease

21
Q

Which of the following statement is true concerning the variation in the sample means (variance of x-bar)?
A. The variation in the sample means can never be larger than the variation in the individual data (variance of x)
B. The variation in the sample means can never be smaller than the variation in the individual data (variance of x)
C. The variation in the sample means is the same as the variation in the individual data (variance of x)
D. None of the above

A

A. The variation in the sample means can never be larger than the variation in the individual data (variance of x)

22
Q 
In the Define phase we should primarily
A. describe and map the processes
B. prioritize the sources of variation
C. estimate the performance variation
D. put the processes under statistical control
A

A. describe and map the processes

23
Q

Why is it important to estimate and prioritize the sources of variation?
A. High variation is something needed for improving quality
B. High variation in performances has to be avoided; therefore we should intervene to minimize the effect of causes of variation
C. Sources of variation improve customer satisfaction
D. Estimation and prioritization are the main component of the tollgate

A

B. High variation in performances has to be avoided; therefore we should intervene to minimize the effect of causes of variation

24
Q

What is not true for effective scoping / SIPOC?
A. Turns thinking from push to pull, that is, focusing on customer requirements
B. Helps teams to describe the problem and search for root causes and to avoid them jumping into conclusions
C. Identifies the important inputs and outputs of each process step
D. Identifies what measure to improve

A

C. Identifies the important inputs and outputs of each process step

25
Q

Designing a “robust” product or process means:
A. eliminating possible noise factors
B. designing experiments in the development phase
C. making it insensitive to the action of noise factors
D. none of the above

A

C. making it insensitive to the action of noise factors

Six Sigma 2017 (10 decks)

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