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Item Maternal factors which are affecting for the low birth weight(4th National Research Conference on Applied Social Statistics, Social Statistics Students’ Association, Department of Social Statistics, Faculty of Social Science, University of Kelaniya, Sri Lanka, 2018) Gamage, L.K.; Wijesinghe, W.A.N.D.The intervention in the time period of pregnancy and early childhood plays a prominent role in order to fulfill our wishes on Sri Lankan child population. Maternal protection during the pregnancy period is crucial as it directly affects to the development of the child fatality. In relation to study, child’s body weight at birth is considered as body mass Index (BMI) for the proper growth of the child the birth must be at least 2500g and births below 2500g weight is considered as low birth weight and those kids may not properly develop and immune to disease are in low level. It has taken Galle District Mahamodara maternity hospital pregnant mothers who delivered their babies on February 2017 as the population. According to that it has selected 289 pregnant in line with stratified random sampling method and gathered primary data with a questionnaire. The relevant data has been collected day after the babies’ birth and continued for the entire February month. The selected population comprises of 4 wards of post-delivery and samples were collected in line with the percentage representing every ward. Following are the identified independent variables Mother’s nutrition, Average family income, Employment of mother, Number of children mother feeds, Mother’s age, Number of family members, Mother’s educational level, Diabetic condition of mother, and High blood pressure condition of the mother. The dependent variable in the research is the weight of the children. Analyzes were done by using SPSS 10.1 software. According to the study multiple regression analysis has been conducted using an independent variables in order to describe dependent variable, the “child’s birth weight”. Y=𝛽0+𝛽𝑖𝑥𝑖+⋯……………+𝛽𝑘𝑥𝑘+𝜀" i = 1,2,3,……………..,k ' In line with research estimated multiple regression is shown below, BW = 1558.406+ 412.371 BMI+95.648 EL – 218.397 DC' The mother’s nutrition, mother’s educational level, mother’s diabetic condition variables have been identified that affects to child’s birth weight using multiple regression. Considering the studies carried out in different districts in Sri Lanka the above factors proves true. To minimize these negative impacts it is important to launching promotional programs awareness workshops on maternity nutrition, Identifying malnutrition and sick mothers and conduct special medical clinics for them and make aware the family members on pregnancy safety and nutritional needsItem Maternal factors which are affecting for the low birth weight(4th National Research Conference on Applied Social Statistics, Social Statistics Students’ Association, Department of Social Statistics, Faculty of Social Science, University of Kelaniya, Sri Lanka, 2018) Gamage, L.K.; Wijesinghe, W.A.N.D.The intervention in the time period of pregnancy and early childhood plays a prominent role in order to fulfill our wishes on Sri Lankan child population. Maternal protection during the pregnancy period is crucial as it directly affects to the development of the child fatality. In relation to study, child’s body weight at birth is considered as body mass Index (BMI) for the proper growth of the child the birth must be at least 2500g and births below 2500g weight is considered as low birth weight and those kids may not properly develop and immune to disease are in low level. It has taken Galle District Mahamodara maternity hospital pregnant mothers who delivered their babies on February 2017 as the population. According to that it has selected 289 pregnant in line with stratified random sampling method and gathered primary data with a questionnaire. The relevant data has been collected day after the babies’ birth and continued for the entire February month. The selected population comprises of 4 wards of post-delivery and samples were collected in line with the percentage representing every ward. Following are the identified independent variables Mother’s nutrition, Average family income, Employment of mother, Number of children mother feeds, Mother’s age, Number of family members, Mother’s educational level, Diabetic condition of mother, and High blood pressure condition of the mother. The dependent variable in the research is the weight of the children. Analyzes were done by using SPSS 10.1 software. According to the study multiple regression analysis has been conducted using an independent variables in order to describe dependent variable, the “child’s birth weight”. Y=𝛽0+𝛽𝑖𝑥𝑖+⋯……………+𝛽𝑘𝑥𝑘+𝜀" i = 1,2,3,……………..,k ' In line with research estimated multiple regression is shown below, BW = 1558.406+ 412.371 BMI+95.648 EL – 218.397 DC' The mother’s nutrition, mother’s educational level, mother’s diabetic condition variables have been identified that affects to child’s birth weight using multiple regression. Considering the studies carried out in different districts in Sri Lanka the above factors proves true. To minimize these negative impacts it is important to launching promotional programs awareness workshops on maternity nutrition, Identifying malnutrition and sick mothers and conduct special medical clinics for them and make aware the family members on pregnancy safety and nutritional needsItem Maternal factors which are affecting for the low birth weight(4th National Research Conference on Applied Social Statistics, Social Statistics Students’ Association, Department of Social Statistics, Faculty of Social Science, University of Kelaniya, Sri Lanka, 2018) Gamage, L.K.; Wijesinghe, W.A.N.D.The intervention in the time period of pregnancy and early childhood plays a prominent role in order to fulfill our wishes on Sri Lankan child population. Maternal protection during the pregnancy period is crucial as it directly affects to the development of the child fatality. In relation to study, child’s body weight at birth is considered as body mass Index (BMI) for the proper growth of the child the birth must be at least 2500g and births below 2500g weight is considered as low birth weight and those kids may not properly develop and immune to disease are in low level. It has taken Galle District Mahamodara maternity hospital pregnant mothers who delivered their babies on February 2017 as the population. According to that it has selected 289 pregnant in line with stratified random sampling method and gathered primary data with a questionnaire. The relevant data has been collected day after the babies’ birth and continued for the entire February month. The selected population comprises of 4 wards of post-delivery and samples were collected in line with the percentage representing every ward. Following are the identified independent variables Mother’s nutrition, Average family income, Employment of mother, Number of children mother feeds, Mother’s age, Number of family members, Mother’s educational level, Diabetic condition of mother, and High blood pressure condition of the mother. The dependent variable in the research is the weight of the children. Analyzes were done by using SPSS 10.1 software. According to the study multiple regression analysis has been conducted using an independent variables in order to describe dependent variable, the “child’s birth weight”. Y=𝛽0+𝛽𝑖𝑥𝑖+⋯……………+𝛽𝑘𝑥𝑘+𝜀" i = 1,2,3,……………..,k ' In line with research estimated multiple regression is shown below, BW = 1558.406+ 412.371 BMI+95.648 EL – 218.397 DC' The mother’s nutrition, mother’s educational level, mother’s diabetic condition variables have been identified that affects to child’s birth weight using multiple regression. Considering the studies carried out in different districts in Sri Lanka the above factors proves true. To minimize these negative impacts it is important to launching promotional programs awareness workshops on maternity nutrition, Identifying malnutrition and sick mothers and conduct special medical clinics for them and make aware the family members on pregnancy safety and nutritional needsItem Factors Affecting the Usage of Social Media among Youngsters (A Quantitative Approach)(3rd National Research Conference on Applied Social Statistics (NRCASS – 2017), 2017) Nalaka, G. P. S.; Diunugala, H. P.Youngsters in every society are of great importance. Their attitudes and behaviors are significant since they are the leaders of tomorrow. They are getting involved with internet related activities more closely than others. Especially, at present social media plays a vital part in their day today life. Therefore, main focus of this study is to explore the factors that affect the usage of social media among youngsters. Mainly, primary data were used. Sampling was done through stratified random sampling technique. Data were collected from 420 undergraduates at the University of Sri Jayewardenepura using a web-paper based questionnaire. Descriptive statistical tools were used to present data. Regression models were applied on two dimensions of social media usage as how often youngsters use social media and how much time youngsters spend on social media. Most of youngsters use social media daily and spend 2 hours a day on social media. Relationship with family, relationship with friends, and privacy concentration are significant factor to the time spent on social media model. Relationship with friends, privacy concentration, and income are significant factor to the frequency of social media usage model. The coefficients are 0.0016, -0.0085, and 0.00000284 respectively. According to Analysis of Variance, purpose of online surfing and rural-urban residence effect on both frequency of social media usage and time spent on social media. Purpose of education is demotivated the usage of social media while communication and entertainment are motivated the usage of social media. Youngsters in urban areas use social media more than youngsters in rural areas.