Exam Details

  • Exam Code
    :LSSMBB
  • Exam Name
    :Certified Lean Six Sigma Master Black Belt (LSSMBB)
  • Certification
    :Six Sigma Certifications
  • Vendor
    :Six Sigma
  • Total Questions
    :210 Q&As
  • Last Updated
    :Apr 09, 2025

Six Sigma Six Sigma Certifications LSSMBB Questions & Answers

  • Question 111:

    Sally and Sara sell flower pots at their garage sale. Martha motivates Rose mentioning that they will sell a minimum of 16 pots per day if the outside temperature exceeds 60o F. From a sample, whose population is assumed to follow a Normal Distribution, taken for 30 days at 60 degrees or more an average of 15.2 pots per day were sold with a Standard Deviation of 0.6 pots. What is the Z value for this sales process?

    A. 0.67

    B. 1.13

    C. 1.33

    D. 2.66

  • Question 112:

    Sally and Sara sell flower pots at their garage sale. Sally motivates Sara mentioning that they will sell a minimum of 15 pots per day if the outside temperature exceeds 60o F. From a sample, whose population is assumed to follow a Normal Distribution, taken for 30 days at 60 degrees or more an average of 13.6 pots per day were sold with a Standard Deviation of 0.7 pots. The statistical Degrees of Freedom for this example are?

    A. 1

    B. 29

    C. 30

    D. 31

    E. 2

  • Question 113:

    A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt's effort requiring that the average cost of an internal critical raw material component be less than or equal to $3,800 in order to stay within budget. Using a sample of 38 first article components, a Mean of the new product upgrade price of $3,680, and a Standard Deviation of $120 was estimated. In order to increase the Long Term Z value to 5, what is the maximum long term variation in pricing the Belt can accept for his upgraded critical raw material component?

    A. $6

    B. $12

    C. $24

    D. $48

  • Question 114:

    Sally and Sara sell flower pots at their garage sale. Sally motivates Sara mentioning that they will sell a minimum of 15 pots per day if the outside temperature exceeds 60o F. From a sample, whose population is assumed to follow a Normal Distribution, taken for 30 days at 60 degrees or more an average of 13.6 pots per day were sold with a Standard Deviation of 0.7 pots. For the sales accomplished above, what test would validate if they met their requirements?

    A. F Test

    B. Test for Equal Variance

    C. Chi Square Test

    D. One-Sample t-Test

  • Question 115:

    A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt's effort requiring that the average cost of an internal critical raw material component be less than or equal to $3,600 in order to stay within budget. Using a sample of 42 first article components, a Mean of the new product upgrade price of $3,200 and a Standard Deviation of $180 was estimated. Based on the data provided, the Z value for the data assuming a Normal Distribution is?

    A. 1.11

    B. 2.22

    C. 4.30

    D. 5.42

  • Question 116:

    A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt's effort requiring that the average cost of an internal critical raw material component be less than or equal to $4,200 in order to stay within budget. Using a sample of 35 first article components, a Mean of the new product upgrade price of $4,060, and a Standard Deviation of $98 was estimated. The Alternative Hypothesis in the above example is?

    A. The Standard Deviation is equal to $300.

    B. The Mean is less than $4,320.

    C. The Mean is equal to $4,060.

    D. The Mean is less than $4,200.

    E. The Mean is greater than $ 4,200.

  • Question 117:

    Which of these might contribute to similar distributions having Unequal Variance?

    A. Extreme tails

    B. Outliers

    C. Multiple Modes

    D. All of the above

  • Question 118:

    A Belt working in a supply chain environment has to make a decision to change suppliers of critical raw materials for a new product upgrade. The purchasing manager is depending on the Belt's effort requiring that the average cost of an internal critical raw material component be less than or equal to $4,200 in order to stay within budget. Using a sample of 35 first article components, a Mean of the new product upgrade price of $4,060, and a Standard Deviation of $98 was estimated. Select the answer that best states the Practical Problem.

    A. If the average cost per component is $4,200 or less, then the purchase manager will introduce the new product upgrade with new components.

    B. If the average cost per component is greater than $4,200, then the purchase manager will introduce the new product upgrade with new components.

    C. Only if the average cost per product upgrade is $4,060, will the purchase manager introduce new product upgrades with new components.

    D. If the average cost per new product upgrade is less than $180, then the purchase manager will introduce the new product upgrade with new components.

  • Question 119:

    Which statement(s) are correct about the Regression shown here? (Note: There are 2 correct answers).

    A. The dependent variable is the outside temperature

    B. The relationship between outside temperature and number of customers per hour is a Linear Regression

    C. The dashed lines indicate with 95% confidence where all of the process data should fall between

    D. The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line

    E. The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C

  • Question 120:

    Which statement(s) are most correct for the Regression Analysis shown here?

    A. The Regression explains 50.8% of the process variation

    B. The air-fuel ratio explains most of the TurbineOutput variation

    C. This Simple Linear Regression explains 98+% of the process variation

    D. This Multiple Linear Regression has four statistically significant independent variables

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