Step 1: Rule out a simple discrete or continuous frequency distribution first: the classes are grouped ranges rather than counts against individual values, so it is not discrete, and the classes are not the usual non-overlapping fixed-width intervals (0-10, 10-20, 20-30, ...) since every class here starts at 0, so it is not an ordinary continuous distribution either.
Step 2: Compare with a more than type table, which would read like "50 and above", "40 and above", "30 and above" with frequencies that decrease as the lower limit falls. That pattern does not match what is given.
Step 3: Here every class begins at 0 and the frequency accumulates as the upper limit rises through 10, 20, 30, 40, 50: the frequency against less than 10 is 3, against less than 20 is 8, and so on, which is exactly a less than type cumulative table.
\[\boxed{\text{Cumulative distribution in less than type}}\]