In order to perform the experiment, one needs to go through the following steps sequentially:

Step 1: Select Type of Sample Data

In the simulation step, choose between Bivariate or Bivariate Grouped data.

Part 1: Bivariate Data

Step 1.1: Enter the Number of Samples

Input the number of samples or observations collected.

Step 1.2: Enter Sample Data and Select Correlation Coefficient Type

Enter the sample data for each variable and select the type of correlation coefficient you want to calculate (e.g., Pearson's correlation coefficient, Spearman's rank correlation coefficient).

Step 1.3: Select Type of Graph

Choose the type of graph that needs to be plotted for the selected sample data. Options may include scatter plots, line plots, or other relevant graphs.

Step 1.4: View Graphical Representation and Correlation Coefficient Result

After completing the above steps, you can view the graphical representation of the sample data and the result for the correlation coefficient. This includes observing the selected graph and analyzing the calculated correlation coefficient.

Part 2: Bivariate Grouped Data

Step 2.1: Enter the Number of Samples

Specify the number of samples or observations collected.

Step 2.2: Enter Sample Data in Terms of Interval

Input the sample data in terms of intervals for each variable.

Step 2.3: Create and Set Frequency Table

Create and set the frequency table for the selected sample data, indicating the frequency of occurrence for each interval.

Step 2.4: View Correlation Coefficient Result

Click on the "Calculate Pearson's correlation coefficient" button to compute the correlation coefficient based on the provided grouped data. The result for the correlation coefficient can then be viewed and analyzed.