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Advanced 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 paired t-test is preferred over a two-sample t-test when:

    Answer: Measurements are taken on the same subject under two conditions

    Pairing on the same subject removes between-subject variability, making the paired t-test more powerful when natural pairs exist.

  2. Bartlett's test is preferred over Levene's test when:

    Answer: Data are approximately normally distributed

    Bartlett's test assumes normality and is more powerful than Levene's test when that assumption holds.

  3. In a chi-square test of independence, the degrees of freedom are calculated as:

    Answer: (number of rows − 1) × (number of columns − 1)

    Degrees of freedom for a chi-square test of independence = (r − 1)(c − 1), where r = rows and c = columns.

  4. A Black Belt conducts 20 simultaneous hypothesis tests each at α = 0.05. The probability of at least one false positive (family-wise error) is approximately:

    Answer: 0.64

    Family-wise error rate = 1 − (1 − 0.05)²⁰ ≈ 0.64, meaning there is about a 64% chance of at least one spurious rejection.

  5. Which correction is commonly applied to control the family-wise error rate when performing multiple comparisons?

    Answer: Bonferroni correction

    The Bonferroni correction divides alpha by the number of tests (α/k), maintaining the family-wise error rate at the desired level.

  6. When sample size increases, holding alpha constant, what happens to the power of a hypothesis test?

    Answer: Power increases because the standard error decreases

    Larger samples reduce the standard error, shrink the confidence interval, and improve the test's ability to detect true differences.

  7. A Mood's Median test is used to:

    Answer: Test whether multiple population medians are equal

    Mood's Median test is a nonparametric test for comparing medians across two or more independent groups.