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| Section | Objectives |
|---|---|
| Six Sigma and Organizational Goals | - Lean principles and Six Sigma integration - Organizational goals and Six Sigma projects |
| Analyze Phase | - Hypothesis testing - Root cause analysis - Regression and correlation analysis - Failure modes and effects analysis (FMEA) |
| Improve Phase | - Design of experiments (DOE) - Solution generation and selection - Lean tools and process optimization |
| Measure Phase | - Data collection and sampling methods - Measurement system analysis (MSA) - Process capability analysis - Process mapping and measurement systems |
| Control Phase | - Statistical process control (SPC) - Monitoring and sustaining improvements - Control plans |
| Define Phase | - Project identification and selection - Project charters and stakeholder analysis - Voice of the customer (VOC) and CTQ |
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NEW QUESTION # 90
P(A) = .42, P(B) = .58, P(A&B) = .10 Find P(A or B).
Answer: A
NEW QUESTION # 91
Which of these is not a primary cause for Non-normal Data?
Answer: E
NEW QUESTION # 92
A team wants a technique for determining and displaying priorities based on frequency of various defect types. They should use:
Answer: A
NEW QUESTION # 93
An important step in determining the VOC is:
Answer: D
NEW QUESTION # 94
Which of the following symbols is used to denote a sample standard deviation?
Answer: D
Explanation:
The correct answer is D. s . In CSSBB statistics, there is a clear distinction between population parameters and sample statistics . The population mean is denoted by # , the population standard deviation by # , and sample-based estimates are represented by sample statistics. The CSSBB hypothesis-testing formulas explicitly show the t test using S when the population standard deviation is unknown, which indicates the sample standard deviation . The CSSBB materials also define a parameter as the true population value and a statistic as a numerical value taken from a sample and used to infer the population.
That means # is reserved for the population standard deviation, while s is the notation used for the sample standard deviation. The symbols # and # represent different population characteristics, not sample spread.
This distinction is important in Six Sigma because many analyses, such as t tests and confidence intervals, rely on sample estimates when the true population variability is unknown. Therefore, the verified answer is D.
s .
NEW QUESTION # 95
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