方法对比
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| 描述性统计× | 夏皮罗-威尔克正态性检验× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Hypothesis test | Hypothesis test |
| 起源年份≠ | 1977 | 1965 |
| 提出者≠ | John W. Tukey | S. S. Shapiro & M. B. Wilk |
| 类型≠ | Summary procedure | Normality (goodness-of-fit) test |
| 开创性文献≠ | Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165 | Shapiro, S. S. & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591–611. DOI ↗ |
| 别名 | summary statistics, exploratory data summary, Betimsel İstatistik | Shapiro-Wilk W test, W test for normality, Shapiro-Wilk normallik testi |
| 相关≠ | 6 | 2 |
| 摘要≠ | Descriptive 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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