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Dealing with Non-normal Data: Strategies and Tools
What is non-normal data? Normally distributed data is a commonly misunderstood concept in Six Sigma. Some people believe all data collected and used for analysis must be distributed normally. But ...
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The Importance of Non-Parametric Tests in Statistical Analysis
Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...
When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...
Skew‐normal distributions extend the traditional normal model by incorporating a parameter that accounts for asymmetry, thereby providing a more flexible framework for modelling real‐world data.
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