SPSS CODE FOR TEST OF NORMALITY HOW TO

As usual, we use the sample mean as an estimate of the population mean, and so the value in B20, which contains the formula =1/B19 where B19 contains the sample mean, is used as an estimate of О».ДЄll the other formulas are the same as described in Kolmogorov-Smirnov Test for NormalityВ where the Kolmogorov-Smirnov test is used to test that data follows a normal distribution. As we can see from Figure 1 of Exponential Distribution, О» is simply the reciprocal of the population mean. Here B4 contains the x value (0.7 in this case) and B20 contains the value of lambda ( О») in the definition of the exponential distribution (Definition 1 of Exponential Distribution). the formula in cell F4 is =EXPONDIST(B4,$B$20,TRUE). We use the Excel function EXPONDIST to calculate the exponential distribution valued F( x) in column F.

Assuming the null hypothesis holds and the data follows an exponential distribution, then the data in column F would contain the cumulative distribution values F( x) for every x in column B. This figure is very similar to Figure 3 of Kolmogorov-Smirnov Test for Normality. Tests for other distributions areВ similar.Д®xample 1: Determine whether the sample data in range B4:B18 of Figure 1 is distributed significantly different from an exponential distribution.ДЇigure 1 вЂ“ Kolmogorov-Smirnov test for exponential distribution

SPSS CODE FOR TEST OF NORMALITY HOW TO

We now show how to modify the procedure to test whether a sample comes from an exponential distribution. We can use this procedure to determine whether a sample comes from a population that is normally distributed (see Kolmogorov-Smirnov Test for Normality). The one-sample Kolmogorov-Smirnov test is used to test whether a sample comes from a specific distribution.

Spss code for test of normality