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ASQ Certified Quality EngineerExam Sample Questions (Q12-Q17):

NEW QUESTION # 12
Quality planning is an activity that identifies the needs of which of the following stakeholders?

A. Management
B. Suppliers
C. Customers
D. Employees

Answer: C

Explanation:
Quality planning focuses on identifying and meeting the needs of the customers. It involves defining quality standards and determining how to achieve them to ensure customer satisfaction.

NEW QUESTION # 13
A process has the following output characteristics:
Mean = 28.65
Median = 24
Mode = 20
The uniniodal distribution with these characteristics is defined as

A. not skewed
B. skewed right
C. skewed left
D. s-shaped

Answer: D

Explanation:
If a value assigned to a unit is non-numerical, it is described as qualitative. Qualitative data describes attributes or characteristics that do not have a numerical value. Examples include descriptions such as color, type, or category.
References:
* Montgomery, D. C. (2017). Design and Analysis of Experiments. John Wiley & Sons.
* ASQ (American Society for Quality) - Types of Data: ASQ Glossary

NEW QUESTION # 14
Which of the following problem-solving tools is a column graph which displays a static picture of the process?

A. Pareto chart.
B. Histogram.
C. Cause and effect diagram.
D. Control chart.

Answer: B

NEW QUESTION # 15
Which of the following is the BEST statement to make regarding the relationship between product precision and product production?

A. With too little precision, production costs increase.
B. Precision costs and performance are related.
C. With little precision, performance will improve.
D. With too much precision, production costs increase.

Answer: B

Explanation:
Explanation/Reference:

NEW QUESTION # 16
In a sample of 2.000 items taken from a large lot. 80 are found to be nonconforming. What is the 95% confidence interval for the proportion of nonconforming items?

A. [0.0302. 0.049
B. [0.0308. 0.0499]
C. [0.0328. 0.0472]
D. [0.0314. 0.0486]

Answer: B

Explanation:
To calculate the 95% confidence interval for the proportion of nonconforming items in a sample, we use the formula for the confidence interval for a proportion: p ± Z * (p(1-p)/n), where p is the sample proportion (80/2000 = 0.04), Z is the Z-score for a 95% confidence level (1.96), and n is the sample size (2000). Plugging in the values, we get the confidence interval as [0.0308, 0.0499]. Reference: "Statistics for Engineers and Scientists" by William Navidi, which explains confidence intervals and their calculations.

NEW QUESTION # 17
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