To order the standard deviations without performing calculations, you can evaluate the general spread or variability of each dataset. Here’s how you can conceptually determine the order of standard deviations:

1. A larger spread of data will result in a larger standard deviation. The more spread out the values are from the mean, the higher the standard deviation.
2. A smaller spread or more concentrated data will have a lower standard deviation. If most values are close to the mean, the standard deviation will be lower.

Without knowing the specific datasets, here are some qualitative indicators of spread:

• Range: A wider range suggests a higher standard deviation.
• Clustering: Data tightly clustered around the mean will have a lower standard deviation.
• Outliers: Presence of outliers or extreme values can increase the standard deviation.

Questions to Consider:

1. Are there extreme outliers in any of the datasets?
2. How tightly are the values clustered around their means in each dataset?
3. What is the range of each dataset?
4. Do any of the datasets have a uniform or skewed distribution?
5. Is there any repeated data in the datasets that might reduce the spread?

Tip: Standard deviation is sensitive to outliers. Even a single extreme value can significantly increase the standard deviation of a dataset.