RCA RCA Data Collection and Analysis 2

Question 1

What is 'confirmation bias' and why is it a risk during RCA data analysis?

Accepted Answer

The tendency to seek and interpret evidence that confirms a pre-existing belief about the cause

Answer

Confirmation bias causes investigators to favor data that supports their initial hypothesis while discounting evidence that points to different causes, leading to incorrect root causes.

Question 2

In RCA, what is the purpose of a 'data verification' step?

Accepted Answer

To confirm that collected data is accurate, complete, and reliable before analysis begins

Answer

Data verification ensures that the information used for analysis is accurate and trustworthy, preventing false conclusions based on flawed data.

Question 3

Which statistical concept helps RCA analysts determine if a data trend is real or due to random variation?

Accepted Answer

Statistical significance testing

Answer

Statistical significance testing helps analysts determine whether an observed pattern in data is likely due to a real cause or simply the result of random chance.

Question 4

What does 'common cause variation' mean in the context of RCA?

Accepted Answer

Natural, inherent variation built into a process that occurs routinely

Answer

Common cause variation is the natural, expected fluctuation inherent in any process; it does not indicate a specific problem requiring RCA.

Question 5

In RCA, what is the value of comparing 'before and after' data when analyzing a process change?

Accepted Answer

It helps determine whether the change is associated with the onset of the problem

Answer

Comparing data from before and after a change helps investigators identify whether that change is correlated with the problem's appearance.

RCA - Root Cause Analysis Practice Test

RCA - Root Cause Analysis Practice Test

RCA RCA Data Collection and Analysis 2