#SPSS CODE FOR TEST OF NORMALITY HOW TO#
#SPSS CODE FOR TEST OF NORMALITY CODE#
The following code shows how to perform a Kolmogorov-Smirnov test on a normally distributed and non-normally distributed dataset in R: #make this example reproducible Method 4: Perform a Kolmogorov-Smirnov Test 05, which indicates that the data is normally distributed.
![spss code for test of normality spss code for test of normality](https://miro.medium.com/max/618/0*rpaHZgyMNZxceT7U.jpg)
The p-value of the first test is not less than. The following code shows how to perform a Shapiro-Wilk test on a normally distributed and non-normally distributed dataset in R: #make this example reproducible The Q-Q plot on the left exhibits a dataset that is normally distributed (the points fall along a straight diagonal line) and the Q-Q plot on the right exhibits a dataset that is not normally distributed. Qqnorm(non_normal_data, main=' Non-normal') The following code shows how to create a Q-Q plot for a normally distributed and non-normally distributed dataset in R: #make this example reproducible The histogram on the left exhibits a dataset that is normally distributed (roughly a “bell-shape”) and the one on the right exhibits a dataset that is not normally distributed. Hist(non_normal_data, col=' steelblue', main=' Non-normal') Hist(normal_data, col=' steelblue', main=' Normal')
![spss code for test of normality spss code for test of normality](https://spss-tutorials.com/img/shapiro-wilk-test-interpretation.png)
#create data that follows an exponential distribution
![spss code for test of normality spss code for test of normality](https://ezspss.com/wp-content/uploads/2019/11/normal2.png)
#create data that follows a normal distribution The following code shows how to create a histogram for a normally distributed and non-normally distributed dataset in R: #make this example reproducible The following examples show how to use each of these methods in practice. (Formal Statistics Test) Perform a Kolmogorov-Smirnov Test. 05, then the data is assumed to be normally distributed.Ĥ.