Step 1 :Given the frequency distribution table, we can calculate the mean by multiplying each data point by its frequency, summing these products, and then dividing by the total frequency.
Step 2 :Since the data points are ranges, we'll use the midpoint of each range as the data point. The midpoints are \([32, 37, 42, 47, 52, 57, 62, 67, 72]\).
Step 3 :The corresponding frequencies are \([1, 1, 2, 5, 4, 9, 10, 17, 13]\).
Step 4 :Multiplying each midpoint by its corresponding frequency and summing these products, we get the total sum.
Step 5 :Dividing this total sum by the total frequency, we get the mean of the frequency distribution.
Step 6 :The mean of the frequency distribution is approximately \(61.354838709677416\).
Step 7 :Rounding to one decimal place, the mean is \(\boxed{61.4}\).