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The image shows a table containing data on the number of hours spent playing video games by different groups. The task asks for the completion of a frequency distribution table, including frequencies and relative frequencies.

The frequency data has already been partially completed. To find the relative frequencies, we will use the following formula:

\[
\text{Relative Frequency} = \frac{\text{Frequency}}{\text{Total Number of Data Points}}
\]

The total number of data points is the sum of all frequencies. Let's calculate that and then fill in the relative frequency column.The total number of data points is 39. Here are the relative frequencies for each interval:

- For 0-2 hours: 0.205 (20.5%)
- For 3-5 hours: 0.128 (12.8%)
- For 6-8 hours: 0.231 (23.1%)
- For 9-11 hours: 0.179 (17.9%)
- For 12-14 hours: 0.205 (20.5%)
- For 15-17 hours: 0.051 (5.1%)

Would you like more details on how these were calculated or any further clarification?

Here are 5 follow-up questions:
1. What is the importance of calculating relative frequencies in data analysis?
2. How would you calculate the cumulative frequency based on this data?
3. Can you create a histogram or bar graph based on the frequency distribution?
4. How does the distribution of video game hours affect the overall mean or median hours played?
5. What other statistical measures could be derived from this frequency distribution?

**Tip**: Always ensure the sum of relative frequencies equals 1 (or close, due to rounding).

A researcher gathered data on hours of video games played by school-aged children and young adults. The task asks for the completion of a frequency distribution for the data, including frequencies and relative frequencies.

Analyze the frequency distribution and relative frequencies for hours spent on video games by children and young adults. The table includes intervals such as 0-2, 3-5, and 6-8 hours. Learn how to calculate the relative frequency using the given formula and data points.

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