Chapter Project Employee Satisfaction: Statistical Inference Using Hypothesis Testing Part 1 Part 2 . Data If the level of employee satisfaction drops below According to the US The data can be found at stat.hawkeslearning 0.60 overall, then there is a belief that there may be Bureau of Labor Statistics, com Data Sets > Employee a serious problem with morale in that department. there was a 12.4% Satisfaction. There have been rumors that the Human Resources incidence of workplace department (hr in the data file) may be having just injury in 2016 in the private sector. If the workplace such issues. Using a statistical package, test to accident rate is above 12.4%, the company will determine if the mean employee satisfaction level in increase inspections and implement additional the Human Resources department is less than 0.60. safety training. For this data, is there statistical 1. Is satisfaction_level a qualitative or support to increase inspections and implement quantitative variable? additional safety training? Use the entire dataset and the work accident variable where 0 = no accident 2. Graph the employee satisfaction level for and 1 = an accident occurred. the Human Resources department with an appropriate graph and calculate statistics 1. Is work_accident a qualitative or appropriate for this type of data. quantitative variable? 3. Conduct the appropriate hypothesis test using 2. Graph the accident at work data with an the following steps. appropriate graph and calculate statistics a. Determine the null and alternative appropriate for this type of data. hypotheses. 3. Conduct the appropriate hypothesis test using b. Use a significance level of a = 0.05. the following steps. a. Determine the null and alternative c. Validate the assumptions of the hypothesis hypotheses. test, identify the appropriate test statistic, and compute its value. b. Use a significance level of a = 0.05. d. Determine the P-value. c. Validate the assumptions of the hypothesis test, identify the appropriate test statistic, e. Make a decision to reject or fail to reject and compute its value. the null hypothesis, H. d. Determine the P-value