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Non-Parametric Test

Non-parametric tests are statistical tests that do not make assumptions about data distribution. It analyses are employed when data does not fit certain assumptions required for parametric tests, such as the normal distribution assumption. Non-parametric tests are...

Non-Parametric

Non-parametric statistics represent a powerful branch of statistical analysis that makes minimal assumptions about data distribution. These methods work effectively when traditional parametric assumptions cannot be met or verified. Understanding nonparametric...

Non-Conformity

Six Sigma defines non-conformity as any deviation from a predefined standard or specification. It can apply to products, processes, or services that do not meet quality criteria and may lead to defects, customer complaints, or other issues. Six Sigma strives to...

Nominal Group Technique (NGT)

Group decision-making often becomes chaotic, dominated by vocal participants while quieter voices remain unheard. However, the nominal group technique offers a structured solution that revolutionizes how teams approach problem-solving and generate creative solutions....

Nominal Data

Six Sigma uses nominal data, which is categorical information used to describe characteristics or attributes of a product or process without any ranking or order. It may also be referred to as “non-numeric data” or “text data”. For example, a...
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