Data Exploration and Statistical Analysis of Lost Time Injury in Manufacturing Industries

Abstract

Accident (whether major or minor) is unexpected and inevitable due to dynamic nature of works, lack of workmanship, and lots of activities in industries. Some occur due to negligence, lack of knowledge or skill, improper handling of tools or equipment, lackadaisical attitudes towards the safety precautions. These attitudes result to highly prevalent exposure to dangers by employees in some industries. The study identified the industries with peculiar risk cases and safety conditions, design questionnaires applicable to accident reporting cases for the industries, model the percentage effect of injuries, illnesses, and fatalities (variables) on yearly basis, and model lost time injuries, illnesses, and fatalities with statistical analysis against the cost of implications. The software used in this study was SPSS version 25 while model built was Multi-linear regression and a correlation matrix was used to check the relationship between the dependent variable (i.e. cost of implication) and the independent variables (percentage of injuries, illnesses and fatalities). The results showed that, the independent variables have significant effects on the dependent variable. However, while considering the individual effect on the dependent variable, only the percentage of illnesses have significant effect on the dependent variable. This implies that, the industries are less concerned to the workers’ benefits and other allowances which causes fatigue on the workers and have much effect on the costs.