The data below are the final exam scores of 10 randomly selected statistics students and the number of hours they studied for the exam. Calculate the correlation coefficient r.

We have no access to your data.

To calculate the correlation coefficient (r) between two variables, like the final exam scores and the number of hours studied, you need to follow these steps:

Step 1: Organize the data
Write down the final exam scores and the number of hours studied for each student in a table or list. Let's call the exam scores variable X and the study hours variable Y.

Step 2: Calculate the mean for both variables
Find the mean (average) for both X and Y. Let's call the mean of X as X̄ and the mean of Y as Ȳ.

Step 3: Calculate the difference from the mean for both variables
For each student, calculate the difference between their exam score and the mean of exam scores (X - X̄), and the difference between their study hours and the mean of study hours (Y - Ȳ).

Step 4: Calculate the product of the differences
Multiply the difference from the mean of X (X - X̄) with the difference from the mean of Y (Y - Ȳ) for each student.

Step 5: Sum up the products of the differences
Sum up all the products obtained in step 4.

Step 6: Calculate the squared differences
Calculate the squared difference between the differences from the means of both X and Y [(X - X̄)^2] and [(Y - Ȳ)^2] for each student.

Step 7: Sum up the squared differences
Sum up all the squared differences obtained in step 6.

Step 8: Calculate the correlation coefficient (r)
Plug the values from steps 5, 7, and the total number of students (N) into the following formula to calculate the correlation coefficient (r):

r = Σ[(X - X̄)(Y - Ȳ)] / √[Σ(X - X̄)^2 × Σ(Y - Ȳ)^2]

In this case, you need the final exam scores and the number of hours studied for 10 students to calculate r. Apply the steps described above to obtain the correlation coefficient.