To determine which graph has a larger standard deviation, we need to analyze the spread of the data points in each graph.
Graph 1:
- Data:
- 0: 2 dots
- 1: 4 dots
- 2: 5 dots
- 3: 3 dots
- 4: 2 dots
- 5: 2 dots
- Distribution is centered around 2, with most data points clustered near this value and fewer at the extremes (0 and 5).
Graph 2:
- Data:
- 4: 0 dots
- 5: 1 dot
- 6: 2 dots
- 7: 3 dots
- 8: 5 dots
- 9: 5 dots
- 10: 3 dots
- 11: 1 dot
- 12: 0 dots
- This graph shows a wider spread of data values, with data points ranging from 5 to 11, with a peak around 8 and 9.
Conclusion: The standard deviation is a measure of the spread of a set of values. Graph 2 has a wider range (5 to 11) compared to Graph 1 (0 to 5), indicating that Graph 2 likely has a larger standard deviation due to the greater variance in values.
Therefore, the correct response is:
The second graph has a larger standard deviation.