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Hypothesis Testing Flashcards

7 cards from real Certified Six Sigma Black Belt Exam practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. A Black Belt needs to test whether the variances of two process streams are equal before running a two-sample t-test. Which test is appropriate?

    Answer: Levene's test or F-test

    Levene's test or the F-test (variance ratio test) are used to compare variances of two groups.

  2. In a hypothesis test, statistical power is defined as:

    Answer: 1 − β

    Power equals 1 − β, representing the probability of correctly rejecting a false null hypothesis.

  3. A team performs a chi-square test of independence on a contingency table. What is the null hypothesis?

    Answer: The two variables are independent

    For a chi-square test of independence, H₀ states that the two categorical variables are independent (no association).

  4. A manufacturer tests a new coating process and finds p = 0.048 with α = 0.05. A colleague argues the result is 'practically significant.' What is wrong with this reasoning?

    Answer: Statistical significance does not guarantee practical significance

    Statistical significance only indicates that an effect is unlikely due to chance; practical significance depends on the magnitude (effect size) of the difference.

  5. When performing multiple hypothesis tests simultaneously, which risk increases?

    Answer: Familywise Type I error rate

    Running multiple tests inflates the familywise Type I error rate; corrections like Bonferroni are used to control it.

  6. A Six Sigma team compares defect counts (discrete data) across four machine types. Which test is most appropriate?

    Answer: Chi-square test of independence

    Chi-square tests are used for categorical/count data to assess independence or differences across groups.

  7. A Black Belt calculates a 95% confidence interval for the mean that does not include the hypothesized value μ₀. What does this imply?

    Answer: Reject H₀ at α = 0.05

    If the hypothesized value falls outside the 95% confidence interval, the two-sided hypothesis test rejects H₀ at α = 0.05.