Resultado de búsqueda
8 de may. de 2020 · Video ini menjelaskan bagiamana cara menghitung uji normalitas dengan menggunakan metode lilliefors. Penjelasan lengkap dengan rumus manual dan dilanjutkan d...
The Lilliefors test (Conover 1999, pages 443-447) tests the following null and alternative hypotheses for data sets up to n = 1000: H0: The data have been drawn from a normal distribution. Ha: The data are drawn from a non-normal distribution. The test is conducted as follows. and the sample standard deviation s = √ 1 n − 1 n ∑ i = 1(xi ...
The following polynomial function provides an approximation, accurate to about two decimals places, for the Lilliefors distribution. where . Real Statistics Functions: The following functions are provided in the Real Statistics Resource Pack to implement the approximation of the Lilliefors distribution:. LDIST(x, n) = the p-value of the Lilliefors distribution at x for samples of size n
Lilliefors test. The Lilliefors test is an adaptation of the Kolmogorov-Smirnov one-sample test which can be used when parameters of the theoretical distribution are estimated from the data rather than being known a priori . The test statistic is the same as in the Kolmogorov-Smirnov test - namely the maximum difference between the empirical ...
20 de abr. de 2012 · Results of K-S with Lilliefors correction and Shapiro-Wilk normality tests for serum magnesium and TSH levels are shown in Table. It is clear that for serum magnesium concentrations, both tests have a p-value greater than 0.05, which indicates normal distribution of data, while for serum TSH concentrations, data are not normally distributed as both p values are less than 0.05.
20 de nov. de 2023 · The Lilliefors (Kolmogorov-Smirnov) test is an EDF omnibus test for the composite hypothesis of normality. The test statistic is the maximal absolute difference between empirical and hypothetical cumulative distribution function. It may be computed as D=\max\{D^{+}, D^{-}\} with
lillietest. Lilliefors test for goodness of fit to a normal distribution. Syntax. H = lillietest(X) H = lillietest(X,alpha) [H,P,LSTAT,CV] = lillietest(X,alpha) Description. H = lillietest(X) performs the Lilliefors test on the input data vector X and returns H, the result of the hypothesis test.The result H is 1 if we can reject the hypothesis that X has a normal distribution, or 0 if we ...
