Significance of Shapiro鈥揥ilk test
The Shapiro-Wilk test is a statistical procedure utilized to evaluate the normality of data distributions. This test is essential in determining whether the data follows a normal distribution, significantly impacting the selection of appropriate statistical methods for analysis. By checking the normality of the cost data, the Shapiro-Wilk test ensures accurate and reliable results in further statistical assessments.
Synonyms: Normality test, Statistical test, Goodness-of-fit test
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The concept of Shapiro鈥揥ilk test in scientific sources
The Shapiro鈥揥ilk test is a statistical method employed to evaluate whether a dataset follows a normal distribution, making it essential for data analysis and interpretation in various research contexts.
From: The Malaysian Journal of Medical Sciences
(1) This refers to a statistical test used to ensure that the data was normally distributed for each group in the study.[1] (2) This is a statistical test used to assess whether a sample of data comes from a normally distributed population, and it was used in this study to check the distribution of changes in various parameters.[2] (3) All data passed Shapiro-Wilk test normality test, describing a test.[3] (4) A statistical test used to determine if the data is normally distributed, which influences the choice of statistical tests.[4] (5) The Shapiro-Wilk test is a statistical test used to check the normality of the cost data, determining the appropriate statistical methods for analysis.[5]