The four classes: less than 5, 5 to < 10, 10 to < 20, greater than 20, would be acceptable for developing a frequency distribution.

Yes, these four classes would be acceptable for developing a frequency distribution. Here's a step-by-step guide on how you can do it:

Step 1: Collect the Data You need to have a set of data that you want to analyze. This could be anything from the ages of people in a town, the number of pets each household has, etc.

Step 2: Define the Classes You've already done this step. Your classes are: less than 5, 5 to < 10, 10 to < 20, and greater than 20.

Step 3: Tally the Data Go through your data set and for each data point, put a tally mark in the appropriate class. For example, if one of your data points is 3, you would put a tally mark in the "less than 5" class.

Step 4: Count the Tallies Once you've gone through all your data, count up the tally marks in each class. This gives you the frequency of each class.

Step 5: Analyze the Distribution Now that you have the frequency of each class, you can analyze the distribution. This could involve finding the class with the highest frequency, looking for patterns, etc.

Remember, the goal of a frequency distribution is to summarize and present data in a form that is easy to understand.