1. The problem involves analyzing a class frequency distribution, which is a way to organize data into intervals (classes) and count how many data points fall into each interval (frequency). 2. The key formula for frequency distribution is simply counting the number of data points in each class. 3. Important rules: classes should be mutually exclusive and exhaustive, and frequencies should sum to the total number of data points. 4. To create a frequency distribution, list the class intervals, count the data points in each, and record the frequencies. 5. For example, if the data set is ages of students and classes are 10-14, 15-19, 20-24, count how many students fall into each age range. 6. This helps summarize large data sets and identify patterns like the most common class (mode) or cumulative frequencies. 7. If you provide specific data or classes, I can help calculate the frequencies and analyze the distribution further.