Mathematics
3 years ago

New study reveals best methods for testing normality in statistics!

Communications in Statistics - Simulation and Computation
A comparison of normality testing methods by empirical power and distribution of <i>P</i> -values
Taewoong Uhm, Seongbaek Yi

Paper Summary

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The article compares different methods used to test if data follows a normal distribution. These tests are important in statistics to make sure our assumptions are correct. The researchers looked at how well these tests work in different situations, like with different sample sizes and types of data. They found that some tests are better than others at detecting when data is not normal. This helps researchers choose the right test for their specific situation.