Step 1 :First, organize the data into the 8-point bins. The bins will be as follows: 68-75, 76-83, 84-91, 92-99.
Step 2 :Next, count the number of data points in each bin to get the frequency.
Step 3 :Then, calculate the relative frequency by dividing the frequency of each bin by the total number of data points. For example, the relative frequency of the bin 68-75 is \(\frac{4}{20} = 0.20\), meaning that 20% of the data points fall into this bin.
Step 4 :Finally, calculate the cumulative frequency by adding up the frequencies as we move down the table. For example, the cumulative frequency for the bin 68-75 is 4, meaning that 4 data points fall into this bin or any bin before it.
Step 5 :The frequency table is as follows: \begin{tabular}{|c|c|c|c|} \hline Bin & Frequency & Relative Frequency & Cumulative Frequency \\ \hline 68-75 & 4 & 4/20 = 0.20 & 4 \\ 76-83 & 6 & 6/20 = 0.30 & 10 \\ 84-91 & 4 & 4/20 = 0.20 & 14 \\ 92-99 & 6 & 6/20 = 0.30 & 20 \\ \hline \end{tabular}