What is the probability that the control point falls between u-3 σ and u+3 σ under the 3 σ principle?
68.27%
99.73%
95.45%
97.21%
What does the core DMAIC process of 6-Sigma refer to?
Define, Measure, Analyze, Improve, Control
Define, Management, Action, Improve, Control
Check, Measure, Analyze, Improve, Management
Which of the following tests should be used to test whether the difference between the mean and target values of a set of samples is significant?
ANOVA test
single sample t-test
double sample t-test
paired t-test
Which statement is incorrect regarding the Process Capability Index?
Cp cannot consider the position of the mean
Cp is an important basis for measuring the degree of process dispersion
Cp may be negative
Ppk measures long-term process capability
Which of the following variables is not suitable for using an X-bar mean control chart?
Number of defective products
temperature
TPO
TPO spray pressure
What does the term “sigma level” refer to in Six Sigma?
The number of standard deviations a process mean is from the specification limits
The average process capability index
The process performance index
The acceptable defect rate in a process
What does the “Min” function in the Cpk formula ensure?
The mean is centered within the specification limits
The process variability is minimized
The calculation considers the worst-case scenario between the two tail risks
The calculation only considers the best-case scenario
What is indicated by a process capability index (Cp or Cpk) greater than 1?
The process is capable of meeting specifications
The process is incapable of meeting specifications
The process is unstable
The process is centered around the mean
The type of hops used in brewing (e.g., aromatic, bittering) is an example of which variable type?
Nominal
Ordinal
Interval
Continuous
For conducting hypothesis testing, if P is less than 0.05, reject the null hypothesis
CP =1 means the process capability must be good
Control limit is used to determine whether the process is in a statistical control state
Non-normal distributions in brewing data always indicate that a process is out of control.
In quality control, reducing common cause variation is more important than addressing special cause variation.
The number of yeast cells per milliliter in a beer sample is an example of a continuous quantitative variable.