Skewness And Kurtosis Spss. Spss computes se for the mean the kurtosis and the skewness a small value indicates a greater stability or smaller sampling err measures of the shape of the distribution measures of the deviation from normality kurtosis. The distribution has a lower and wider peak and thinner tails.
Spss descriptive output showing skewness and kurtosis values for gpa and final the above descriptive statistics chart shows the data in terms of mean standard deviation skewness and kurtosis in relation to gpa and final with n 105 representing the sample size. You can also see that spss has calculated the mean 46 93 metres and the standard deviation 21 122 metres. The kurtosis is negative with a value greater than 3.
Here x is the sample mean.
For skewness if the value is greater than 1 0 the distribution is right skewed. The skewness statistic is 719 and kurtosis is 125 see above. Spss descriptive output showing skewness and kurtosis values for gpa and final the above descriptive statistics chart shows the data in terms of mean standard deviation skewness and kurtosis in relation to gpa and final with n 105 representing the sample size. You can also see that spss has calculated the mean 46 93 metres and the standard deviation 21 122 metres.
