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Linganisha mbinu

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Takwimu Elekezi×Kipimo cha Usawa cha Shapiro-Wilk×
NyanjaTakwimuTakwimu
FamiliaHypothesis testHypothesis test
Mwaka wa asili19771965
MwanzilishiJohn W. TukeyS. S. Shapiro & M. B. Wilk
AinaSummary procedureNormality (goodness-of-fit) test
Chanzo asiliaTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591–611. DOI ↗
Majina mbadalasummary statistics, exploratory data summary, Betimsel İstatistikShapiro-Wilk W test, W test for normality, Shapiro-Wilk normallik testi
Zinazohusiana62
MuhtasariDescriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure.The Shapiro-Wilk test is a hypothesis test that checks whether a continuous variable was drawn from a normal distribution. It was introduced by Samuel Shapiro and Martin Wilk in 1965 and is regarded as one of the most powerful normality tests, recommended for sample sizes below 5000.
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  3. PUBLISHED

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ScholarGateLinganisha mbinu: Descriptive Statistics · Shapiro-Wilk test. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare