Question 1 :

While making a run or Shewhart chart is an important part of any QI initiative, the charts do not tell you (select all that apply):

	A.	Whether or not a common cause process should be improved
	B.	The reason(s) for a special cause
	C.	The number of teams required to achieve improvement
	D.	How much money will be saved as a result of the improvement work
	E.	How the process should actually be improved or redesigned

QUESTION 2

A shift on a run chart is defined as:

	A.	5 consecutive data points constantly going up or constantly going down
	B.	1 data point that is dramatically different from all the rest
	C.	6 consecutive data points on one side of the median
	D.	Too many or too few runs on the chart as determined by a statistical table

QUESTION 3

When you have a distribution the key characteristics to be evaluated are (select all that apply):

	A.	Color
	B.	Size
	C.	Center
	D.	Shape
	E.	Spread

QUESTION 4

An astronomical data point is defined as:

	A.	1 data point that is dramatically different from all the rest
	B.	6 consecutive data points on one side of the median
	C.	5 consecutive data points constantly going up or constantly going down
	D.	Too many or too few runs on the chart as determined by a statistical table

QUESTION 5

Administrators and managers who rely on aggregated data to make decisions are:

	A.	Able to gain good insights about the performance of the processes they manage.
	B.	None of the above.
	C.	Demonstrating good leadership.
	D.	Not really focused on quality.
	E.	Able to determine how far they are from the targets or goals they have been given.

QUESTION 6

Aggregated data presented in tabular formats or with summary statistics will not help you measure the impact of process improvement or redesign efforts.

True

False

QUESTION 7

Briefly describe the characteristics of common cause and special cause variation.

QUESTION 8

Deming created a demonstration to show what happens when you constantly overreact to a data point. This demonstration is called:

	A.	The Monte Carlo demonstration
	B.	The dice demonstration
	C.	The Delphi demonstration
	D.	The funnel demonstration
	E.	The card demonstration
	F.	None of the above

QUESTION 9

Attributes data can be further divided into (select two):

	A.	Drill-down data
	B.	Defect data
	C.	Predictive data
	D.	Probability data
	E.	Defective data

QUESTION 10

Benchmarking is a way to identify and understand ________________ to enable organizations to realize optimal levels of performance.