CSSGB practice test

CSSGB - 5. Probability and Distributions

How well do you understand Probability and Distributions?

  • 25 exam-style CSSGB questions focused on Probability and Distributions
  • Full explanation for every question
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  • Instant feedback as you answer
Questions
25
Mode
Review
BoK area
Overview: Six Sigma and the Organization
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Free sample questions

2 questions from this set, shown in full with the correct answer and the reasoning behind it. Read them as a study resource.

  1. Q1.Shift and rework status were recorded for every unit produced last month, and the joint probabilities are shown below.

    ReworkNo reworkTotalDay0.120.380.50Night0.180.320.50Total0.300.701.00\begin{array}{l|c|c|c} \hline & \textbf{Rework} & \textbf{No rework} & \textbf{Total} \\ \hline \text{Day} & 0.12 & 0.38 & 0.50 \\ \text{Night} & 0.18 & 0.32 & 0.50 \\ \hline \textbf{Total} & 0.30 & 0.70 & 1.00 \\ \hline \end{array}

    What is the probability that a randomly selected unit came from the night shift or required rework?

    • A.0.800.80
    • B.0.180.18
    • C.0.680.68
    • D.0.620.62✓ Correct answer

    Explanation

    Night shift and rework can happen to the same unit, so the events are not mutually exclusive and the general additive rule applies:

    P(AB)=P(A)+P(B)P(AB)P(A \cup B) = P(A) + P(B) - P(A \cap B)

    P(AB)=0.50+0.300.18=0.62P(A \cup B) = 0.50 + 0.30 - 0.18 = 0.62

    0.800.80 is the primary foil and comes from the simple additive rule reserved for mutually exclusive events, which counts the 0.18 of night shift rework units twice. 0.680.68 subtracts the wrong cell, the day shift overlap. Exam tip: the word or in a stem should send you looking for the overlap first, and the simple form is safe only when the stem makes the events impossible to combine.

    Reference: CSSGB BoK III

  2. Q2.A green belt has proposed a distribution for each of four situations.

    RowSituationProposed distribution1Scratches per painted doorPoisson2Defective bolts in a box of 50Binomial3Ratio of two sample variancesChi square4Fill volume of a bottle in mLNormal\begin{array}{c|l|l} \hline \textbf{Row} & \textbf{Situation} & \textbf{Proposed distribution} \\ \hline 1 & \text{Scratches per painted door} & \text{Poisson} \\ 2 & \text{Defective bolts in a box of 50} & \text{Binomial} \\ 3 & \text{Ratio of two sample variances} & \text{Chi square} \\ 4 & \text{Fill volume of a bottle in mL} & \text{Normal} \\ \hline \end{array}

    Which row carries the wrong distribution?

    • A.Row 1
    • B.Row 2
    • C.Row 3✓ Correct answer
    • D.Row 4

    Explanation

    A ratio of two variance estimates follows the FF distribution, which is the whole reason a variance comparison is called an F test. Chi square is the near neighbour and applies when one sample variance is judged against a single stated standard value, so the two are separated by whether the second quantity is another sample or a fixed constant. The other three rows are matched correctly: defects per unit of area are Poisson, defective items out of a fixed 50 are binomial, and a measured volume is continuous.

    Reference: CSSGB BoK III

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What you get

How well do you understand Probability and Distributions?

  • 25 exam-style CSSGB questions focused on Probability and Distributions
  • Full explanation for every question
  • Mobile friendly, no install required
  • Instant feedback as you answer

Strengthen Your Understanding of Probability and Distributions

Preparing for the ASQ Certified Six Sigma Green Belt exam?

This paid 25-question practice quiz focuses specifically on Probability and Distributions within the CSSGB Body of Knowledge.

The questions include a practical mix of:

  • Basic probability concepts and rules
  • Independent and dependent events
  • Conditional probability
  • Addition and multiplication rules
  • Permutations and combinations
  • Sampling distributions and the central limit theorem
  • Standard error of the mean
  • Binomial and Poisson distributions
  • Normal, t, chi-square, and F distributions
  • Selecting the correct probability distribution for a situation
  • Degrees of freedom
  • Bayes-type probability questions
  • Discrete versus continuous distributions
  • Workplace scenarios and short calculations

Learn from Every Question

This quiz is offered in Review Mode, so you will see the correct answer and a clear explanation immediately after each response.

Each explanation helps you understand:

  • Why the correct answer is right
  • Which probability or distribution concept is being tested
  • Why the other options are less appropriate
  • How to select the correct probability rule or distribution
  • How these concepts may appear in a CSSGB-style question

The goal is not simply to check your score. It is to help you understand how probability concepts and statistical distributions are applied in Six Sigma analysis.

Part of the Paid CSSGB Practice Package

This 25-question quiz is included in the complete CSSGB Practice Test Package.

Use it to:

  • Strengthen your understanding of probability concepts
  • Practise conditional, joint, and independent probability calculations
  • Improve your understanding of sampling distributions and standard error
  • Learn when to use binomial, Poisson, normal, t, chi-square, and F distributions
  • Practise degrees-of-freedom and distribution-selection questions
  • Identify gaps in your statistical knowledge
  • Improve your confidence before the CSSGB exam

Ready to Test Your Probability and Distributions Knowledge?

Complete the 25-question Review Mode quiz and use every incorrect answer as a guide for further study.

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What this quiz covers

  • Overview: Six Sigma and the Organization

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