Monitoring diabetic patients using statistical process control Department: Mathematics and Statistics By: kruskalstat Project ID: 3132 Rating: (5.0) votes: 1Rate this project12345 Price:₦4000 Get the Complete MaterialAbstractThe study investigated the use of statistical process control technique in monitoring and controlling diabetic patients. The aim of the study was to highlight the importance of X-bar and R-chart in monitoring the blood sugar level of patients’ with diabetes. The study examined the blood sugar level of 20 diabetic patients for the period of 12months which were analyzed using the control chart for variables through the use of SPSS package. The findings of the study reveal that an average of 130mg/dL blood sugar level is expected for every diabetic patient health profile examined. However, the result indicated that for controlled diabetic patients’ health, the blood sugar level of the patients is expected to reduce to 127mg/dL while uncontrolled health status will vary up to about 133mg/dL (allowable random variation). The result further pointed that the patient in sample 10 has an extreme condition of diabetes which requires a critical medical examination since the patient’s blood sugar level profile is way higher that the expected upper allowable limit. The study concludes that the use of statistical process control technique is effective in monitoring and control the blood sugar level of diabetic patients since the technique is capable of estimating and describing patients’ health whose blood sugar level is being affected by either random causes of the diabetic condition or an assignable cause of the diabetic condition and hence the statistical process control technique is recommended for use in the health sector....Preview Download Preview +Other Mathematics and Statistics project topics and materials you might be interested in»Statistical Quality Control of Premier Soap in Soap Manufacturing Industry ( A Case Study of PZ Cusson PLC Aba Abia State)»Statistical analysis of students’ height and weight (case study of federal polytechnic Nekede, Owerri, Imo state) »Statistical analysis of unemployment rate among age groups and geographical locations in Nigeria»Statistical analysis of the problems associated with skill acquisition in Nigeria (a case study of male tailors in Imo state)»Application of linear programming technique to profit maximization in the production of soap (a case study of Promotex industrial and chemical company limited, Nnewi, Anambra state) »Statistical analysis of foster care and adoption rate in Abia state (a case study of motherless babies home Ahiaeke, Umuahia)»Determination of nutritional status of children within the ages of four (4) to ten (10) years using their body mass index (BMI)»Time series analysis on marriage registration in Ilorin, Kwara state»Application of multiple queuing model in evaluating the efficiency of service in UBA bank»Statistical analysis on impact of parental hood on academic performance»Econometrics analysis of gross national income on consumption expenditure of federal republic of Nigeria between (2011)»Determinant of foreign direct investment in Nigeria and its effect on Nigerian economy: an empirical analysis»Statistical analysis of factors affecting crime in Imo state»Statistical study of the queuing pattern at the antinatal division of Federal Medical Center FMC Owerri Imo state»A statistical analysis of coal production in Nigeria - a case study of Nigeria coal corporation from 2000-2009