Business Research

Descriptive statistical techniques were used and developed to tally up emotional responses from the employees.   Managers at Insuratel actively seek resolution to the problem of absenteeism by first administering surveys to 100 random employees, submitted anonymously. It is necessary to identify the driving factors of this negative outcome and anonymity will reflect more accurate truths. The questions listed were designed to focus on the correlation between absenteeism and job satisfaction—this is considered statistical inference (Lind, Marchal, & Wathen, 2008). A sample of the population of Insuratel workers was needed to troubleshoot and predict best practices to improve absenteeism.   The strength of the relationship between the two variables dictates the approach from management.   This report will emphasize the dependency phenomena and therefore outline the correlation analysis while addressing the challenges of data compilation and analysis so sound managerial decisions can be made concerning absenteeism.
The design of the experiment dictates that, if a certain event did not occur, employee absenteeism would not have increased by 38% in the past 6 months. Absenteeism is considered to be measurable (Absenteeism, 2010) and the design of this experiment is critical because it ensures that there is a genuine causal relationship between the dependent and the independent variables. The hypothesis used, at first glance, seemed to be easily testable. The challenge is that, in any concrete experimental design, the opposite should also be true. The design of the experiment establishes that, if a certain event does not occur, the tested outcome would not have happened. If the hypothesis used is not valid then it is also not reliable. A test can be reliable but not valid, whereas a test cannot be valid and unreliable. There is a real causal relationship between the independent and dependent variables. After analyzing the results of the hypothesis, statistically, the null...