Use of the Design of Complete Random Blocks to Study the Effect of Some Factors on abortions Cases

Abstract

Many women suffer from abortion which is leading to finish the pregnancy by get out the fetus out of uterus before he capable of the life independent of his mum. There are many factors affect the abortion of fetus such as (The weight of the baby, period of pregnancy ,Mother job and Mother age ) .We used the Two- way variance analysis for the complete randomized block design to study the effect of these factors and specify the most effect factor on the abortion cases .We use areal data set in the health field using a sample consists (540) cases of abortion. We use statistical software (Spss18) to Analysis the data to the assumptions of ANOVA. The results of Kolmogorov- simeronovo show that the normality assumptions did not approved for three factors. Mean while , the results of levene test for homogeneity of variance show that the homogeneity of the variance is differing from Experiment to another . The results of F-test show the significances of differences between the factors ,which lead to use the Multiple – compression ( Duncan process ) which show different results from Experiment to other. Also, The results show the most effect factor is the Mother job , Then the weight of the baby , Then the Mother age and the less effect factor is the period of pregnancy.