Six Sigma Green Belt Certification Practice Exam

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Prepare for your Six Sigma Green Belt Certification Exam with confidence. This exam is a critical step in enhancing your career prospects in quality management and process improvement. Tackle interactive questions with hints and explanations and ace your certification!

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

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What does a p-value of 0.04 indicate about the Time for Training in relation to customer complaints?

  1. It is not a significant statistical factor contributing to customer complaints

  2. It is a statistically significant factor contributing to customer complaints

  3. It is a practically significant factor contributing to customer complaints

  4. It is a highly significant statistical factor contributing to customer complaints

The correct answer is: It is a statistically significant factor contributing to customer complaints

A p-value of 0.04 indicates that there is a statistically significant relationship between the Time for Training and customer complaints. In hypothesis testing, a common threshold for significance is a p-value of 0.05; thus, a p-value lower than this threshold suggests that the observed effect (in this case, the relationship between the Time for Training and customer complaints) is unlikely to have occurred by random chance. This means that there is sufficient evidence to conclude that Time for Training does have a meaningful impact on the number of customer complaints, thereby categorizing it as a statistically significant factor. The choice accurately reflects the implications of the p-value: that we can reject the null hypothesis and consider the effect meaningful from a statistical standpoint. While the other options mention significance in different terms, they do not accurately capture the implication of a p-value of 0.04 specifically in a statistical context, which centers around the evidence against the null hypothesis regarding the effects being assessed.