Spss Normal Distribution. In the spss output window look at the skewness score it should be close to zero to indicate a normal symmetric distribution or kurtosis it should also be zero to indicate that the distribution is normal. Filling in these numbers into the general formula simplifies it to.
Spss runs two statistical tests of normality kolmogorov smirnov and shapiro wilk. F x 1 2 π e x 2 2. If the significance value is greater than the alpha value we ll use 05 as our alpha value then there is no reason to think that our data differs significantly from a normal distribution i e we can reject the null hypothesis that it is non normal.
The standard normal distribution is the only normal distribution we really need.
Here s what you need to assess whether your data distribution is normal. Spss offers the following tests for normality. Filling in these numbers into the general formula simplifies it to. The null hypothesis for each test is that a given variable is normally distributed.
