Statistical Process Control (SPC) Quiz

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