Week 1 Black Belt Flashcards
A Critical Input can be best defined by:
(a) Any contribution to the process
(b) An activity or task
(c) A measurable item that has been statistically proven to be required for the process to complete its task
(d) A result that can be improved over time
(c) A measurable item that has been statistically proven to be required for the process to complete its task
Y=F(x) describes:
(a) How Y and X are correlated
(b) How outputs are function of various inputs
(c) The equation of a straight line
(d) Six Sigma term for linear regression
(b) How outputs are function of various inputs
Long-term variation measures:
(a) overall process variation
(b) momentary variation
(c) special cause variation
(d) common cause variation
(a) overall process variation
Long term z is typically…than short term z.
(a) less than
(b) greater than
(c) about the same
(d) never different
(e) none of the above
(a) less than
Six Sigma problem solving places emphasis on:
(a) Statistical Thinking (using tools and charts to solve problems)
(b) Dollar savings
(c) Statistical Thinking (using data to uncover sources of variation that directly affect outputs)
(d) Project Management
(e) All of the above
(e) All of the above
The “Alpha Risk” or significance level is:
(a) Risk of finding a difference when there really isn’t
(b) The risk of making a Type II error
(c) Risk of not finding a difference when there really is one
(d) None of the above
(e) All of the above
(a) Risk of finding a difference when there really isn’t
A sample size increases, so does the ability to detect:
(a) large difference between means
(b) small differences between means
(c) a less precise estimate of the standard deviation
(d) a less precise estimate of the mean
(e) None of the above
(b) small differences between means
What does this picture below represent:
(a) Accuracy
(b) Good precision
(c) Reproducibility
(d) Correlation
(b) Good precision
If the p-value is less than the level of significance (i.e, the alpha value) for a statistical test, we would:
(a) Reject the alternate hypothesis
(b) Reject the null hypothesis
(c) Accept the null hypothesis
(d) Collect more data
(e) None of the above
(b) Reject the null hypothesis
For the sample described below when using a t-test, would you reject the null hypothesis that Group 1 is equal to Group 2?
(a) Yes, the p-value is small
(b) Yes, the means are different
(c) Yes, the T value is small
(d) No, the p-value is large
(e) Don’t know
(d) No, the p-value is large
From the box plot of the means of two data sets shown below, it appears that there is a difference between the two data groups. What test would be used to test for statistical significance?
(a) 1 sample t test
(b) 2 sample t test
(c) Regression
(d) Correlation
(b) 2 sample t test
If a set of data had a shape and spread as shown, how would you classify it?
(a) bimodal
(b) positively skewed
(c) symmetric
(d) Uniform
(b) positively skewed
Examine the scatter plot displayed below. How do the two variables (Input, output) appear to relate to one another?
(a) Strong, Positive Correlation
(b) Strong, Negative Correlation
(c) Weak, Positive Correlation
(d) Weak, Negative Correlation
(a) Strong, Positive Correlation
From the ANOVA, Interpret whether there are differences between the group means:
(a) At least 1 group population mean is different
(b) No significant differences between the 5 group means
(c) Can’t tell from this analysis
(d) Need more data
(e) Sample sizes too small to determine significance
(a) At least 1 group population mean is different
Attribute data that is collected as counts- defects sampled (lot size is constant) is best control charted with a:
(a) p chart
(b) np chart
(c) c chart
(d) Individual chart
e) None of the above
(a) p chart
From the list of response variables determine if the data type is attribute or continuous:
Count of defects
Time
Is sample late (Yes/No)
Dollars of revenue affected
Count of defects - Attribute
Time - Continuous
Is sample late (Yes/No) - Attribute
Dollars of revenue affected - Continuous
From examining the control charts, the process is said to be:
(a) statistically in-control
(b) statistically out of control
(c) Out of control
(d) Capable
(a) statistically in-control
Repeatability in a measurement system (Gauge R7R) measures:
(a) Variation in measurement when you have successive measurements of the system when you use the same operator
(b) The accuracy of the measurement
(c) How well the measurement variation differs from the process variation
(e) Repeatability is not critical for a measurement system
(a) Variation in measurement when you have successive measurements of the system when you use the same operator
Reproducibility in a measurement system (Gauge R&R) measures;
(a) How well the measurement system is performing
(b) equipment accuracy
(c) Calibration results)
(d) Variation that results when different conditions, such as different operators are used to make the same measurement
(e) Part to part variation
(d) Variation that results when different conditions, such as different operators are used to make the same measurement
Measurement variation should be ______________ than part to part variation.
(a) Equal to
(b) Less than
(c) Greater than
(b) Less than
When looking at an X-bar control chart, each data point represents:
(a) The value of a single measured data point
(b) The amount of variation from point to point
(c) The average of a subgroup of collected data points
(d) The capability index of any given group of points
(c) The average of a subgroup of collected data points
The statistics that are used to summarize and present collected data are called:
(a) Descriptive statistics
(b) Control statistics
(c) Inferential statistics
(d) Pragmatic statistics
(a) Descriptive statistics
One of the characteristics of normal distribution is that:
(a) The mean, median, and mode are approx. equal
(b) Th chi-square value occurs less frequently than any other value
(c) The mean and the standard deviation are approx. equal
(a) The mean, median, and mode are approx. equal
A good project charter should NEVER include which of the following:
(a) Possible solutions to the problem
(b) An accurate and specific description of the Y
(c) Estimates of the financial impact of the project
(d) A list of the team members
(a) Possible solutions to the problem
