When several independent or unrelated pieces of information taken from a large data set point to the same conclusion, a manager should be concerned with:
A) reliability and confidence
B) accuracy and cost
C) speed and accuracy
D) seizing and freezing
E) convergence and redundancy

Question

Quizplus · Accepted Answer

When several independent or unrelated pieces of information taken from a large data set point to the same conclusion, it is important to consider convergence and redundancy. Convergence is when multiple sources of data come together to support a conclusion, while redundancy refers to the same information being repeated in multiple sources. Both convergence and redundancy provide a stronger case for the conclusion being drawn, as it is less likely that the conclusion is due to chance or error. Therefore, a manager should be concerned with these factors when multiple pieces of information point to the same conclusion.

When Several Independent or Unrelated Pieces of Information Taken from a Large