Texto da ajuda do R<br><br>The Lilliefors (Kolomorov-Smirnov) test is the most famous EDF omnibus test for 
normality. Compared to the Anderson-Darling test and the Cramer-von Mises test 
it is known to perform worse. Although the test statistic obtained from 
<code>lillie.test(x)</code> is the same as that obtained from <code>ks.test(x, 
&quot;pnorm&quot;, mean(x), sd(x))</code>, it is not correct to use the p-value from the 
latter for the composite hypothesis of normality (mean and variance unknown), 
since the distribution of the test statistic is different when the parameters 
are estimated.<br><br>Minha base de dados consiste de uma amostra de 
tempos de reparo de equipamentos e tempos de operação (um vetor para 
cada). Neste caso o mais adequado é o lillie.test?<div style="visibility: hidden; left: -5000px; position: absolute; z-index: 9999; padding: 0px; margin-left: 0px; margin-top: 0px; overflow: hidden; word-wrap: break-word; color: black; font-size: 10px; text-align: left; line-height: 130%;" id="avg_ls_inline_popup">
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