②在“Options(选项)”子对话框中勾选“Kurtosis(峰度)”和“Skewness(偏度)”(图18),点击“Continue(继续)”,然后点击OK。 图18 2. 结果解读 由图19“Descriptive Statistics(统计描述)”结果可计算年龄的检验统计量为: 偏度系数检验统计量ug1=g1/σ1=0.018/0.194=0.093,|ug1|<1.64 峰度系数检验统计量ug2...
(三) 偏度和峰度系数检验法通过计算偏度系数和峰度系数进行正态性评估。操作步骤：选择“Analyze”->“Descriptive Statistics”->“Descriptives”，勾选“Kurtosis”和“Skewness”。结果：年龄服从正态分布，D-二聚体不服从正态分布。(四) 描述法基于均数、标准差、均数与中位数比较判断正态性。操作步...
value of the Shapiro-Wilk Test is greater than 0.05, the data is normal. If it is below 0.05, the data significantly deviate from a normal distribution.If you need to use skewness and kurtosis values to determine normality, rather the Shapiro-Wilk test, you will find these in our enhanced...
We prove that under mild regularity conditions, the sample skewness is the locally best invariant (LBI) test of normality against a wide class of asymmetric families and the kurtosis is the LBI test against symmetric families. We also discuss non-regular cases such as testing normality against ...
Three Different Measures of Sample Skewness and Kurtosis and their Effects on the Jarque-Bera Test for Normality M. Panagiotis: "Three different measures of sample skewness and kurtosis and their effects on the Jarque Bera test for normality", International Journal of... P Mantalos - 《Jibs Wor...
1.Shapiro-Wilk test 样本量小于50 2.normaltest 样本量小于50,normaltest运用了D’Agostino–Pearson综合测试法,每组样本数大于20 3.Lilliefors-test - for intermediate sample numbers, the Lilliefors-test is good since the original Kolmogorov-Smirnov-test is unreliable when mean and std of the distribution...
Normaltest, a SPSS(≥26) macro for univariate and multivariate normality test. It contains the 9 univariate normality tests, including z test of skewness and kurtosis, Anderson-Darling test, Cramer-von Mises test, D'Agostino-Pearson test, Jarque-Bera test, Kolmogorov-Smirnow with Lilliefors test,...
any other test you recommend to analyse the same ? Reply Charles November 6, 2017 at 9:38 am The kurtosis is extremely high compared to a normal distribution. The skewness is also a little low for a normal distribution. The kurtosis and skewness of a normal distribution is zero, although ...
To compute the skewness and kurtosis, select ANALYZE | DESCRIPTIVE STATISTICS | DESCRIPTIVES from the SPSS menu. Then click on the OPTIONS button. Here is the output. The skewness is close to zero, indicating that the residuals are roughly symmetric. The kurtosis is very small. This tells you...
Table 2. Numerical Methods for Testing Normality Test Stat. N Dist. SAS STATA SPSS Jarque-Bera 2 2 - - - χ χ (2) Skewness-Kurtosis 2 9≤N 2 - .sktest - χ χ (2) Shapiro-Wilk W 7≤N≤ 2,000 - YES .swilk YES Shapiro-Francia W’ 5≤N≤ 5,000 - - .sfrancia - * ...