Showing posts with label N. Show all posts
Showing posts with label N. Show all posts
Null Hypothesis(Ho)
A null hypothesis (H0) is a stated assumption that there is no difference in parameters (mean, variance, DPMO) for two or more populations. According to the null hypothesis, any observed difference in samples is due to chance or sampling error.
np-chart
A Control Chart of the number of defective units in a subgroup. Assumes a constant subgroup size. Based on the binomial distribution.It is used only for Discrete Data.
Normality test
A normality test is a statistical process used to determine if a sample or any group of data fits a standard normal distribution. A normality test can be performed mathematically or graphically.
Normal Probability
Used to check whether observations follow a normal distribution. P > 0.05 = data is normal
Normal distribution
Normal distribution is the spread of information (such as product performance or demographics) where the most frequently occurring value is in the middle of the range and other probabilities tail off symmetrically in both directions. Normal distribution is graphically categorized by a bell-shaped curve, also known as a Gaussian distribution. For normally distributed data, the mean and median are very close and may be identical.
Non Conforming unit
A sample (part) which has one or more nonconformities, making the sample unacceptable for its intended use.
Nominal group technique(NGT)
A tool to bring a team in conflict to consensus on the relative importance of issues, problems, or solutions by completing individual importance ranking into a team's final priorities.
Nominal
It refers to the value that you estimate in a design process that approximate your real CTQ (Y) target value based on the design element capacity. Nominals are usually referred to as point estimate and related to y-hat model.
Noise
Process input that consistently causes variation in the output measurement that is random and expected and, therefore, not controlled is called noise. Noise also is referred to as white noise, random variation, common cause variation, noncontrollable variable.
Nested data
An experiment design where the trials are not fully randomized sets. In lieu offull fandomization, trials are structured such that some factor considerations are randomized within other factor considerations.
natural tolerances(of a process)
3 standard deviations on either side of the center point(mean value). In a normally distributed process, the natural tolerances encompass 99.73% of all measurements.
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