To represent the survey data you provided effectively, a frequency table would be the most appropriate method.
A frequency table allows for a clear comparison between the numbers of soccer and basketball players who play year-round and those who do not. Here’s how you could set up a simple frequency table for the data:
| Sport | Year-Round | Not Year-Round | Total | |-------------|------------|----------------|-------| | Soccer | 17 | 12 | 29 | | Basketball | 25 | 5 | 30 | | Total | 42 | 17 | 59 |
This table organizes the data in a way that makes it easy to observe the number of players for each sport who play year-round versus those who do not, as well as overall totals for each category.
While scatter plots and pie charts can be useful for different types of data visualization, they would not be as effective for this specific dataset compared to a frequency table, since the data involves distinct categories for two different sports rather than continuous data or parts of a whole.