International Journal of Academic Accounting, Finance & Management Research (IJAAFMR)   Year: 2019 | Volume: 3 | Issue: 10 | Page No.: 21-36 Use of Statistical Discriminate of Marasmus and Kwashkur Diseases among Children under 5 years-A Case Study: Wad Medani Pediatric Teaching Hospital, Sudan Khansa Omer Edrees Ahmed and Abd Alrahim Ahmed Gismsalla Mustafa Abstract: Kawashcor and Marasmous have widespread in Sudan, especially in remote rural areas. It was necessary to find statistical method to uncover the level, pattern and determinate of these diseases. The study aimed to discriminate between Kawshcor and Mersmous diseases and pinpoint the most discriminate factors that predispose the diseases. The date were obtained from pediatric hospital records in Wad Medani through structured questionnaire addressed to the mothers of infested children a sample of 200 children whom 137 were diagnosed initially as Marasmus and 63 as Kwashkur. Discriminate analysis analysis were applied with the help of (SPSS) program. The results showed that discriminate model applied had a good fit to the data and that all variables used in discrimination were significant. Such as (vaccination, natural breastfeeding, Biomass index). The most important discriminate variables are arm circumference, child weight, Place of residence . The study showed that possible error in model specificity does not exceed 16%. Twelve components are specified by factor analysis as having lower loading at eigenvalues of 0.7 explaining 75% of total variation. The study recommended the use of statistical discriminate model to discriminate between pathologies of similar symptoms. And ministry of health should make period campaign for a wornness about malnutrition disease especially for Marasmus and Kwashkur Diseases.