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To compare how well different models fit your data, you can use Akaikes information criterion for model selection.The numbers that you have reported for D_n is in contrast with the values at the wiki page :
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I downloaded the Real Statistics add-in but still, I am unable to find a correct answer.
CharlesDear Charles Zaiontz,
thank you for this helpful page. You should note that you cannot accept the null hypothesis, but only find evidence against it.If you do use the KS test and estimate the mean and standard deviation from the sample, then you should use the Lilliefors table.
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real-statistics.
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{\textstyle {\widehat {p_{k}}}=\sum _{k}{\widehat {p_{k1}}}{\widehat {p_{k2}}}}
is based on using the assumption that the rating of the two raters are independent.3581/sqrt(219).There are many occasions when you need to determine the agreement between two raters. In addition, both officers agreed that there were seven people who displayed suspicious behaviour. Furthermore, a ratio does not reveal its numerator nor its denominator.
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Therefore, if you have SPSS Statistics versions 27 or 28 (or the subscription version of SPSS Statistics), the images that follow will be blue rather than light grey. Is the test still reliable with this sample size?
Thank you very much in advance!Ilkin,
The more data the better. The disagreement is due to allocation because quantities are identical.org/stable/2285616?seq=1
CharlesHi Charles,I am examining whether two sets of samples are drawn from the same population, neither is expected to have a normal distribution.75,2,0.
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05)? RobertCharles sorry, was missing on the first line; should read K-S statistic is critical D then accept H0 at the 0. Now, since k > 1 we can use Chebyshev’s formula to find the fraction of the data that are within k=2 standard deviations of the mean.5
Cohen’s kappa measures the agreement between two raters who each classify N items into C mutually exclusive categories..