Tests of Normality KolmogorovSmirnove ShapiroWilk Height NDV

Tests of Normality Kolmogorov-Smirnove Shapiro-Wilk Height NDVI Statistic f Sig Statistic 128000 954 086 128021 985 Sig 128000 128.180 130

Solution

For both the tests hypotheses used are:

Ho : The sample data are not significantly different than a normal population.

Ha : The sample data are significantly different than a normal population.

Here there are two variables as height and NDVI.

Assume alpha = level of significance = 1% = 1/100 = 0.01

For both test height has p-value = 0.000

p-value < alpha

Reject H0 at 1% level of significance.

Conclusion : The sample data are significantly different than a normal population that is data are not normal.

For variable NDVI :

Kolmogorov-Smirnov test :

p-value = 0.021

and for Shapiro-Wilk test :

p-value 0.180

p-value > 0.01

Fail to reject H0.

Conclusion : The sample data are not significantly different than a normal population that is data are normal.

We use alpha as 1%, 5%, 10% etc..

Our decision will be based on which alpha we choose.