Normal distribution test
This is probably an even more basic question but shapiro.test return both the statistic (w) and the significance (pw) of the statistic. For this test the null-hypothesis is that the distirbution is not normal so very small values of pw would mean that there is very little chance that the distiribution is not normal. Correct? Thank you. Kevin
---- Johannes Graumann <johannes_graumann at web.de> wrote:
Markus Mehrwald wrote:
Hi all, I am completely new to R and my knowledge of statistics is quite small so I hope you can help my. I have three dimensional point data which represents (and this is what I do not know for sure) a normal distribution. Now I want to test if this is true or not and as I can remember from statistics lessons I can use Chi-Square test for distribution test. BUT: I have realy no idea how to do this with R and additionally if my assumptions are correct and if this is possible with R at all. Thank you very much in advance for any answer. Markus
See ?shapiro.test or ?ks.test HTH, Joh
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