1. The problem is to understand how to organize and display data using tables in statistics. 2. A table in statistics is a way to arrange data in rows and columns to make it easier to read and analyze. 3. Important types of tables include frequency tables, which show how often each value occurs, and contingency tables, which show the relationship between two categorical variables. 4. To create a frequency table: - List all unique data values in one column. - Count how many times each value appears and list these counts in the next column. 5. Example: Suppose we have data: 2, 3, 3, 5, 2, 4, 3. - Unique values: 2, 3, 4, 5 - Counts: 2 appears 2 times, 3 appears 3 times, 4 appears 1 time, 5 appears 1 time 6. The frequency table looks like: | Value | Frequency | |-------|-----------| | 2 | 2 | | 3 | 3 | | 4 | 1 | | 5 | 1 | 7. This table helps us quickly see the distribution of data values. 8. For more complex data, tables can include relative frequencies (percentages) or cumulative frequencies. 9. Tables are fundamental in statistics for summarizing and interpreting data clearly.