1. The problem is to understand and create frequency distribution tables, which summarize data by showing the frequency of each data value or range. 2. The formula for frequency is simply counting how many times each value or class interval appears in the data set. 3. Important rules: - The sum of all frequencies equals the total number of data points. - Class intervals should be mutually exclusive and exhaustive. 4. Example: Suppose we have data: 2, 3, 3, 5, 7, 7, 7, 8. - Count frequencies: 2 appears 1 time, 3 appears 2 times, 5 appears 1 time, 7 appears 3 times, 8 appears 1 time. 5. Construct the frequency distribution table: | Value | Frequency | |-------|-----------| | 2 | 1 | | 3 | 2 | | 5 | 1 | | 7 | 3 | | 8 | 1 | 6. This table helps to quickly see the distribution of data values and is useful for further statistical analysis.