Six Sigma Yellow Belt Trivia Quiz!

50 Questions | Total Attempts: 7166

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Six Sigma Yellow Belt Trivia Quiz!

Six Sigma is a way in which most corporate use to improve some of their processes. What levels are you when it comes to six sigma? Are you working up for the black belt? The quiz below is perfect for a yellow belt part I, II and III. Give it a try and get to review your understanding as you wait for the next batch of questions.


Questions and Answers
  • 1. 
    __________________can be measured against a benchmark in a process.
    • A. 

      Performance

    • B. 

      Outcome of the process (Y)

    • C. 

      Operational Efficiency

    • D. 

      All of the above

  • 2. 
    “If P value is >=0.5, then the process is said to be Normal” – Indicate what type of statistics is being used?
    • A. 

      Descriptive

    • B. 

      Inferential

    • C. 

      Expression

    • D. 

      None of the above

  • 3. 
    • A. 

      Discrete & Attribute

    • B. 

      Discrete & Continuous

    • C. 

      Variable & Continuous

    • D. 

      Continuous & Attribute

  • 4. 
    The Pareto Graph is used to represent ____________ scale of measurement.
    • A. 

      Nominal

    • B. 

      Ordinal

    • C. 

      Ratio

    • D. 

      Interval

  • 5. 
    --------------------- helps to understand Process behavior for parametric distribution.
    • A. 

      Median

    • B. 

      Range

    • C. 

      Mean

    • D. 

      Variance

  • 6. 
    • A. 

      Geometric Mean

    • B. 

      Median

    • C. 

      Mode

    • D. 

      Arithmetic Mean

  • 7. 
    • A. 

      Extreme values do not affect the median as strongly as they affect Mean

    • B. 

      A median can be calculated for qualitative descriptions

    • C. 

      Median is easy to understand

    • D. 

      Median can be calculated even for open-ended classes

  • 8. 
    The measure which helps to understand the spread of variation is called as __________
    • A. 

      Quartile 1

    • B. 

      Cpk

    • C. 

      Mode

    • D. 

      Variance

  • 9. 
    The distance between Quartile1 (Q1) and Quartile3 (Q3) is called as __________ and it helps to understand ___________ of process variation.
    • A. 

      Inter Quartile Range and Width

    • B. 

      Quartile Range and Height

    • C. 

      Quartile 2 and Width

    • D. 

      Median and Width

  • 10. 
    Box Plot Graph is used to_______________________ . The choice of answer could be more than one.  [multiple choice]
    • A. 

      Identify outliers

    • B. 

      Differentiate before and after Improvements.

    • C. 

      It is suited for time ordered data and parametric distribution.

    • D. 

      B and C only

  • 11. 
    The Graph which helps to identify and prioritize problems to be solved
    • A. 

      Control Chart

    • B. 

      Histogram Chart

    • C. 

      Fish Bone Graph

    • D. 

      Pareto Chart

  • 12. 
    The Control Chart would help us to determine whether the process is
    • A. 

      Stable

    • B. 

      Capable

    • C. 

      Correlation

    • D. 

      Prediction

  • 13. 
    What kind of Graph would help us to analyze stability of non parametric distribution of data points
    • A. 

      P Chart

    • B. 

      I-mR Chart

    • C. 

      C Chart

    • D. 

      Box Plot

  • 14. 
    If the sample value of sub group size is n=1, choose the appropriate type of control chart for outlier analysis.
    • A. 

      P Chart

    • B. 

      I-mR Chart

    • C. 

      C Chart

    • D. 

      NP Chart

  • 15. 
    If special causes assigned in the process variations, then the UCL and LCL would be recomputed without removing those outliers. (True/False)
    • A. 

      True

    • B. 

      False

  • 16. 
    All the data points lie within UCL & LCL and 10 out of 11 data points on one side of mean value(central limit), indicate whether the process is having____________
    • A. 

      Special causes

    • B. 

      Common causes

    • C. 

      Assignable causes

    • D. 

      Outliers

  • 17. 
    In Control chart interpretations, how many business rules (Shewart Rule’s) will be used to interpret for stable process.
    • A. 

      5 Rules

    • B. 

      7 Rules

    • C. 

      6 Rules

    • D. 

      8 Rules

  • 18. 
    Which of the following tools indicates a relationship between X and Y variables, and provides a visual correlation coefficient.
    • A. 

      Cause (X) and Effect (Y) Diagram

    • B. 

      Pareto Chart

    • C. 

      Scatter Diagram

    • D. 

      Control Chart

  • 19. 
    The data set is having 100 values of effort variance in % for different project releases, indicate what type of distributions would be suited for understanding the process behavior
    • A. 

      Poison

    • B. 

      Binomial

    • C. 

      Normal

    • D. 

      Exponential

  • 20. 
    The area under the curve value is 1, then the mean, median and mode values would be same (True/False)
    • A. 

      True

    • B. 

      False

  • 21. 
    The Organization Specification limits are + 5 or – 5 % where as Control Limits are + 6 % &  -2% , justify whether the Process is
    • A. 

      Stable

    • B. 

      Capable

    • C. 

      Within control

    • D. 

      None of the above

  • 22. 
    A process has its CPk value less than 1. The process is __________ .
    • A. 

      Stable

    • B. 

      Capable

    • C. 

      Not Capable

    • D. 

      None of the above

  • 23. 
    The design and code review effort is high (process is effective) in a project, and it results in less number of defects injected in UAT phase. Identify the appropriate type of correlation between review effort and number of defects. (Assume that “r” value is good).
    • A. 

      Positive Correlation

    • B. 

      Strong Negative Correlation

    • C. 

      Non linear Correlation

    • D. 

      Strong Positive Correlation

  • 24. 
    In a project, defect density increases and Productivity decreases in subsequent releases. Indicate what kind of relationship that you can interpret in this pair (x, y)?
    • A. 

      Weak Positive Correlation

    • B. 

      Strong Negative Correlation

    • C. 

      No relation

    • D. 

      Strong Positive Correlation

  • 25. 
    ___________________determines the nature of relationship which would help us to make predictions.
    • A. 

      Correlation Analysis

    • B. 

      Regression Analysis

    • C. 

      Stability Analysis

    • D. 

      Capability Analysis