The standard deviation of the sample data is 
  
enter your response here 
▼ 
dollars.
stadiums.
marriages.
marriages squared .
stadiums squared .
dollars squared .
​(Round to one decimal place as​ needed.)

It seems like you're asking about calculating the **standard deviation** for a sample of data, and you're deciding how to label the result from a set of possible units. Since standard deviation measures the spread or variability of the data, its units will match the units of the data points themselves.

### Key points:
1. **Standard deviation (SD)** has the same units as the data.
2. If the data is measured in **dollars**, the standard deviation will be in **dollars**.
3. If the data is in terms of **stadiums** or **marriages**, the standard deviation will take on the same unit, not squared values.

So, if your data is measured in **dollars**, the standard deviation will be in **dollars** (not squared units). The correct form would be: 

**"dollars"** (rounded to one decimal place as needed).

If you'd like me to help calculate it based on actual data, feel free to share that!

Would you like more details about this concept?

Here are five follow-up questions:
1. How do you calculate the standard deviation of a sample?
2. Why does standard deviation have the same units as the data?
3. What are the steps to compute the variance before calculating standard deviation?
4. How does standard deviation differ between a sample and a population?
5. Why is rounding important when reporting statistical measures?

**Tip:** The square root of the variance gives the standard deviation, which explains why it has the same unit as the data!

The standard deviation of the sample data is 
enter your response here ▼
dollars.
stadiums.
marriages.
marriages squared.
stadiums squared.
dollars squared.
​(Round to one decimal place as​ needed.)

Explore how to calculate the standard deviation of a sample data set with various units such as dollars, stadiums, and marriages. This guide breaks down key statistical concepts like standard deviation, variance, and the importance of rounding. Perfect for students in Grades 10-12.

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