What reasons should the vice-president provide to the president to justify the recommendation on employee burnout?

The vice-president of administration at your company wonders whether employees are taking adequate amounts of vacation time. Employee burnout is a concern. Research suggests that an employee taking less than 1.4 weeks of vacation annually is very likely to experience burnout. You are asked to analyze the employee vacation data and conduct a hypothesis test with the following results: t = 2.93 p = 0.0084 What factors should the vice-president consider in determining the presence of employee burnout? Do employees take more than 1.4 weeks of vacation? What reasons should the vice-president provide to the president to justify the recommendation on employee burnout? Based on the data, is the presence of employee burnout an issue that may negatively impact the company? For additional details, please refer to the Scenario Analysis Guidelines and Rubric document. Knowledge of statistics is important foundational knowledge for analyzing data. Equally important is what you can do with that information. An overarching goal of this course is to consider how statistics informs decision making, or data-based decision making. Throughout this course, you will be asked to make decisions and then to consider the impact of those choices. Whether in stock trading, in car sales, or on the production floor, the decisions you make as a business professional should be directly influenced by the data available to you. Careful analysis is the key to data-based decision making. Each module task below provides a scenario and a list of questions for you to answer using data-based decision making Specifically, the following critical elements must be addressed: Main Elements II. Integration and Application III. Analysis