C207 TASK 1 DATA DRIVEN DECISION MAKING HIGHLIGHTED 2024 JUNE Answers
The data provided in this scenario points out the turnover rate of nursing staff which resulted in implementing an employee wellness program. Based on this analysis, the question that can be asked will be: Does implementing an employee well-being program that provides incentives affect the attrition rate of nursing staff? Is it possible to reduce the rate of attrition of nurses at a major healthcare system by implementing a voluntary employee well-being program that provides incentives? B1. - Independent Variable: In this scenario, the wellness program participation (%) is the independent variable. It is represented on the x axis. - Dependent Variable: In this scenario, the nursing attrition rate (5) is the dependent variable, and is represented on the y axis. The investigators can study a line of regression using the data from the previous 36 months since the wellness program was initiated to determine if there is a relationship or trend between the independent and dependent variables. - Type of Data: The attrition rate is proved as a percentage, and indicates the ratio of nurses left compared to those who remain employed. In spite of the fact that this number can be zero, these data points are considered continuous ratios. - Quantity of Data: During the 36 months of the study, two data points were collected: attrition rate and program participation rate. The total number of data points collected is 72. The regression model examines 36 data points. B2 and C1. Please refer to the Excel Spreadsheet C2. Since the data is continuous, a linear regression analysis is appropriate, it will explain how a continuous variable can affect a dependent variable.
Escuela, estudio y materia
- Institución
- C207
- Grado
- C207
Información del documento
- Subido en
- 7 de junio de 2024
- Número de páginas
- 20
- Escrito en
- 2023/2024
- Tipo
- Examen
- Contiene
- Preguntas y respuestas
Temas
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employee wellness program
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data driven decision making
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turnover rate of nursing staff