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In statistics, normality tests are used to determine if a data set is well-modeled by a normal distribution and to compute how likely it is for a random variable underlying the data set to be normally distributed.
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Explore the main themes, entities and connections around Normality test. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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data normal tests test normality distribution normally distributed statistics one sample used kurtosis residuals testing distributions variance variable mean standard
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Normality test | has application | One | 0.60 | section |
| Normality test | has application | If | 0.60 | section |
| Normality test | has application | Correcting | 0.60 | section |
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