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WorksheetsSPC control chart
Total questions: 38
Worksheet time: 34mins
This part of the chart is usually horizontal and contains categories.
X axis
Y axis
Legend
Chart title
This part of the chart is usually vertical and contains data.
Y axis
X axis
Legend
Chart title
Tells you what each part of the chart represents.
Legend
Vertical axis
Horizontal axis
Chart title
Identify this chart.
Column
Bar
Line
Pie
Identify this chart.
Pie
Line
Bar
Column
Identify this chart.
Line
Bar
Column
Pie
Which of the following is an example of an attribute data?
Voltage
Accepted/rejected
Dimensions
Weight
Which of the following reveals whether process variation is the result of a special cause?
Control Chart
Check Sheet
Pareto Chart
Run Chart
Variables data concern measured values such as dimensions, weight, etc.
True
False
What type of variation occurs when a process is in control?
Random
Natural
Sampling
Assignable
Common causes of variation are the purely random, unidentifiable sources of variation that are unavoidable with the current process.
True
False
Process centering is shown by a control chart.
True
False
The upper control limit defines:
The highest standard deviation of the process
The highest variance of the process
The highest level that the process should operate within
The highest specification limit that the customer wants
Control Limits are the same are Specifications Limits.
True
False
The average bottle of Coca-Cola has 20 ounces with a standard deviation of 2 ounces. What percent of the bottles will have more than 22.5 ounces to the nearest percent?
0.89%
89%
11%
1.1%
The average bottle of Coca-Cola has 20 ounces with a standard deviation of 2 ounces. What percent of the bottles will have 17 ounces or less to the nearest percent?
66.8%
7%
93%
.66%
What percent of drivers drive between 50 and 80 on a road marked with a 50 mph speed limit?
81.5%
68%
27%
13.5%
What percent of drivers go more than 80 mph on a road marked with a 50 mph speed limit?
95%
5%
2.5%
16%
What percent of drivers drive between 50 and 70 on a road with a speed limit of 50 mph?
34%
68%
95%
13.5%
-
Exactly what we want to see
Points are too close to the centerline - there should be more variation
There are points outside the control limits
What is likely to be true about products in the yellow region?
They will be shipped to customers
They will be rejected
They will be sold cheaply as inferior products
They will be scrapped
The data points of parameters measured in a production line fluctuate about a mean value, we all these fluctuations
inconsistencies
errors
variations
margins
Who invented SPC?
Walter Stewart
Walter Shewhart
Edward Demming
Thomas Daimler
The red curve indicated by the arrow is a
Poisson's distribution
A Bell Curve
Normal Distribution
All of the above
A quality product
meets expectations of customers
looks good
fullfi all specifications
last for a long time
What are the mentioned weaknesses or limitations of using statistical process control (SPC) as a superpower, as discussed in the video?
Limited application in healthcare projects
Difficulty in setting control limits
Less effective for rare events
Lack of flexibility for varying data sets
Why does the video recommend not extending the center line and control limits across points during the improvement phase of a project?
It avoids unnecessary calculations
It signifies a shift in the process state
The process is stable during improvements
It prevents misinterpretation of the data
In the healthcare project example of reducing length of stay, why does the video advise against adding a new mean after two weeks of improvement?
There is not enough evidence of improvement
The process is stable within control limits
The control limits are not accurately calculated
The project is not making any changes
Why does the video mention the 'rule of sevens' in relation to special cause variation?
It's an arbitrary rule for setting control limits
It signifies the likelihood of consecutive points falling on one side of the center line
It determines the average performance of a process
It's a rule for sustaining improvements
What are the three most common indicators of special cause variation in a process?
Targets, benchmarks, and trends
Outliers, shifts, and trends
Control limits, outliers, and shifts
Targets, outliers, and control limits
What does the term 'special cause variation' refer to in the context of statistical process control?
Random fluctuations in data
Planned improvements in a process
Out of the ordinary variations
Common cause variation
Why does the video advise against reacting to two consecutive weeks of data being off target in the patient wait time example?
The process is stable within control limits
The control limits are not accurately calculated
It is a common cause variation
The process is abnormal
In the patient wait time example, what is the significance of the control limits on the chart?
They represent the average wait time
They indicate the range of common cause variation
They are arbitrary benchmarks
They determine the patient's reaction to wait times
According to the video, how does SPC help the Chief Medical Officer in allocating resources in response to data presented in the medical field?
By setting arbitrary targets
By identifying common cause variation
By ignoring control limits
By reacting to every data point
What is the primary superpower introduced in the video for overcoming challenges in the workplace?
Time management
Statistical process control (SPC)
Data visualization
Physical strength
What is the superpower for overcoming challenges in the workplace introduced in the text?
Qlik
Datawrapper
Spotfire
Statistical process control (SPC)
As a chief medical officer, how does SPC help in managing data?
It helps in predicting future data
It identifies important data
It helps in focusing on the most important data
It helps in creating fictional data
What are control limits in SPC used for?
To indicate if a process is stable or abnormal
To determine outliers
To limit the amount of data collected
To predict variation
What is the term used for the normal ups and downs every process has?
Extraordinary variation
Common cause variation
Special cause variation
Unique variation
What is the rule of sevens in SPC used for?
To calculate control limits
To determine the number of data points needed for analysis
To identify special cause variation
To set targets for the process
When should you react to a data point in SPC?
When the data point is within control limits
When the data point is outside control limits
When the data point is exactly on the center line
When the data point is close to the mean
What should be done if the data set has very little variation in SPC?
Ignore the data set completely
Use a run chart with a Center Line
Create fictional data to increase variation
Add control limits and analyze the data
What should be done for rare events like hospital infections in SPC?
Ignore them as one does not conform a trend
Consider rare events like number of patience or weather conditions
Examine them as they should never occur
Ignore them as they are within control limits
What is the purpose of using special charts for rare events in SPC?
To hide the occurrence of rare events
To avoid overburdening data analytics
To shorten time analysis
To identify and examine rare events
What is the ultimate benefit of using SPC according to the text?
To characterize the origin of rare events in a process.
To obtain massive amounts of data from limited samples
To save time and resources by responding thoughtfully to the voice of processes
To complicate decision-making processes
