One of the important statistical methods used in statistics is the nonparametric methods that are concerned with analyzing data that do not follow a normal distribution, as these methods deal with a study of the community without the need to know its probability distribution, and many tests are included in it, where this paper touched on the study of two types of them only, namely (Kruskal-Wallis, Cochran).
From this point of view and as a practical application of these two analyzes, a field
study was conducted on a random sample of newborn mothers, by distributing 50 forms in order to reach the most important factors affecting the weights of newborns in the city of Misurata, where the results of the study showed that through the Kruskal- Wallis test ) It was found that the factors, the level of nutrition of the pregnant mother and her high blood pressure, had a significant effect on the weight of the
newborn, and the results of the (Cochran) test showed that the factors blood sugar level of the pregnant mother and the type of birth had a significant effect on the weight of the newborn