No intermediate values between successive values. Not continuous.
What is discrete data?
200
Present in all processes.
What is variation?
200
About 68% of the observations fall within one standard deviation of the mean.
About 95% of the observations fall within two standard deviations of the mean.
About 99.7% of the observations fall within three standard deviations of the mean.
What is the "68 - 95 - 99.7 rule"? or What is the empirical rule?
200
The "M" in DMAIC.
What is Measure?
200
Number 11 in the following example:
1, 2, 3, 11, 56, 99
What is the median?
300
Cycle time is one example.
What is continuous data?
300
It's random, stable, and consistent.
What is Common Cause variation?
300
The 68-95-99.7 rule applies to only this type of distribution.
What is normal distribution?
300
Commonality between "Throughput", "Customer", "Time of Day", "Employee", "Location", "Size", "Cycle Time", "Schedule Attainment", "Waste or Spoilage", "Cost", "Number of Employees", "Number of Errors".
What are things we can measure?
300
Highest value minus the lowest value.
What is the range?
400
Errors on a report would be one example.
What is discrete data?
400
It's not random and it changes over time.
What is Special Cause variation?
400
The spread of the distribution tells us about this.
What is the degree of variation?
400
Quantifying observations according to decision rules.
What is measurement?
400
When it comes to standard deviation, this is better.
What is smaller?
500
Trait or characteristic is an example of what type of data.
What is qualitative data?
500
An example: You arrive home from work 90 minutes later than normal because three chickens, a kangaroo, and an elephant were sitting in the middle of the road playing checkers.
What is Special Cause variation.
500
This predicts the probability of a random event occurring.