RMC Hot Topics 9th Edition Flashcards - Quality Management: 21-30

1
Q

What is the purpose of test and inspection planning?

A

For the team to determine how it will confirm that the required level of quality has been achieved in the completion of project deliverables, and how the deliverables will be evaluated for performance and reliability.

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2
Q

What are quality metrics?

A

Specific measures of quality that the project manager uses to determine how the project is performing.

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3
Q

What are some of the tools and techniques used in the Manage Quality process?

A

Checklists

Cause-and-effect diagrams

Histograms

Scatter diagrams

Document analysis

Alternatives analysis

Process analysis

Root cause analysis

Multicriteria decision analysis

Flowcharts

Affinity diagrams

Audits

Design for X

Problem-solving

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4
Q

What is design of experiments (DOE)?

A

A technique that allows you to systematically change the important factors in a process and see which combinations have an optimal impact on project deliverables.

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5
Q

What is the purpose of failure analysis?

A

It analyzes failed components on deliverables, or failed processes to determine what led to the failure.

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6
Q

What does mutual exclusivity mean?

A

Two events are said to be mutually exclusive if they cannot both occur in a single trial (for example, flipping a coin once cannot result in both head and tail)

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7
Q

In what form is probability usually expressed?

A

As the decimal or a fraction

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8
Q

What is a normal distribution curve?

A

A bell-shaped frequency distribution curve used to measure variation.

This is the most common probability density distribution chart.

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9
Q

What is statistical independence?

A

The probability of the event “B” occurring does not depend on the event “A” occurring (for example, the probability a 6 on a die is statistically independent from the probability of getting a five on the next role)

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10
Q

What does Sigma signify in a process?

What’s another name for Sigma?

A

It is a measure of how far you are from the mean/average (not the median)

Standard deviation

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