6-2 Scenario Analysis: Vacation Timesouthern New Hampshire U

6-2 Scenario Analysis: Vacation TimeSouthern New Hampshire UniversityQSO-510 Quantitative Analysis 09:31:13 GMT -05:006-2 Scenario Analysis: Vacation TimeThe data used for this analysis was collected from a company that is concerned about employee burnout. The purpose of this analysis is to determine if the amount of vacation time taken by an employee impacts employee burnout. Research suggests that an employee taking less than 1.4 weeks of vacation annually is very likely to experience burnout.Main ElementsBefore conducting an analysis, the vice-president should consider if there are signs of employee burnout. Four main signs of burnout are elevated stress levels, too much or too little sleep, irritability or hostility and lower quality work (DiStasio, 2020). The vice-president can begin by meeting with managers to evaluate if any managers are feeling burnout and then ask them to evaluate their employees and report back.Integration and ApplicationBased on the information provided: t = 2.93 and p = 0.0084, we determine: HO: µ ≤ 1.4HA: µ > 1.4 09:31:13 GMT -05:00Since p = 0.0084 is less than 0.05, we reject HO and support HA. This means employees are taking more than 1.4 weeks of vacation annually.AnalysisWe have determined employees are taking adequate amounts of