Frequency distribution organizes data into classes. Steps: (1) Find range = max - min; (2) Choose class width = range/number of classes; (3) Create class intervals; (4) Count frequency in each class. Example: Data 10-50, 10 classes → width = 4. Classes: [10-14), [14-18), etc. Frequency = count in each class. Relative frequency = frequency/total. Cumulative frequency = running total. Graphical representation: Frequency histogram (bars), frequency polygon (line), cumulative frequency curve (ogive). Solving: Calculate frequency carefully. Choose appropriate number of classes (usually 5-15). Exam tip: Ensure classes are mutually exclusive and exhaustive. Use class midpoint for calculations.