An experimenter hypothesis wants to find out whether results obtained by 10 students in class test are related. Using Pearson's r, calculate the relationship and write a brief report to department?

To calculate the relationship between the results obtained by 10 students in a class test using Pearson's r, we first need to gather the data on the test scores of each student. Once we have the data, we can input it into a statistical software program or use a calculator to calculate the correlation coefficient.

After calculating the Pearson's r value, we can interpret the results to determine the strength and direction of the relationship between the test scores of the students. A Pearson's r value close to 1 indicates a strong positive relationship, while a value close to -1 indicates a strong negative relationship. A value close to 0 indicates no relationship between the variables.

Once we have the results, we can write a brief report to the department summarizing our findings. In the report, we can discuss the strength and direction of the relationship between the test scores of the students, as well as any implications or insights that can be drawn from the data. We can also include any limitations of the study and recommendations for future research.

Overall, using Pearson's r to analyze the relationship between the test scores of the students can provide valuable insights into the performance of the class as a whole and help inform future teaching strategies and interventions.