Statistical tool to determine if there is a relationship between the level of parents' income and the level of academic performance of nursing students.

To determine if there is a relationship between the level of parents' income and the level of academic performance of nursing students, you can use a statistical tool called Pearson's correlation coefficient. Here are the steps:

1. Data Collection: Collect data on the income level of the parents and the academic performance of the nursing students. The academic performance can be measured through GPA or any other relevant academic metric.

2. Coding the Data: Code the data in a way that can be interpreted by the statistical software. For example, you can code income levels as 1 for low income, 2 for middle income, and 3 for high income. Academic performance can be coded based on the GPA scale used by the institution.

3. Input the Data into a Statistical Software: Input the coded data into a statistical software such as SPSS, R, or Python's statistical libraries.

4. Run Pearson's Correlation Coefficient: Run the Pearson's correlation coefficient test on the data. This test measures the strength and direction of the relationship between the two variables.

5. Interpret the Results: The result of the Pearson's correlation coefficient ranges from -1 to 1. A value close to 1 indicates a strong positive relationship, a value close to -1 indicates a strong negative relationship, and a value close to 0 indicates no relationship.

6. Report the Findings: Finally, report the findings in a clear and concise manner. Include the value of the correlation coefficient and what it indicates about the relationship between parents' income level and the academic performance of nursing students.