Data Normality Detection Using the Graph Method

Abstract

The main purpose of this research is to offer a normality test using the graph method. The steps taken by the researcher are conducting a literature study on the normality test of the data. Look for the advantages and disadvantages of each method and compare with other graphics methods such as QQ-Plot and PP-Plot. The last step is to simulate data using the proposed method and then compare the results with other methods and draw conclusions from the results obtained.From the results of the literature study, we found a way to test data only by looking at the graph. The graph that appears when testing the data has three lines. The graph that appears when testing the data has three lines. They are upper, middle and bottom lines.If all data entered in the upper and lower boundary environment, it can be concluded that the data is normally distributed. Using this method, the normal detection of data can be seen only through a graph and the results are more accurate than the Kolmogorov-Smirnov method is some cases.