Range = (Round to one decimal place as needed.) Sample standard deviation = (Round to one decimal place as needed.) Sample variance = (Round to one decimal place as needed.) What do the results tell us? O A. Jersey numbers are nominal data that are just replacements for names, so the resulting statistics are meaningless. O B. Jersey numbers on a football team do not vary as much as expected. OC. Jersey numbers on a football team vary much more than expected. O D. The sample standard deviation is too large in comparison to the range.

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8-Hi wonderful Bartleby Team,

I need help with this stats exercise, please provide answer for all the parts. Thanks in advance.

**Statistical Analysis of Jersey Numbers**

**Range: ⬜ (Round to one decimal place as needed.)**

**Sample Standard Deviation:
Transcribed Image Text:**Statistical Analysis of Jersey Numbers** **Range: ⬜ (Round to one decimal place as needed.)** **Sample Standard Deviation:
**Sample Data Analysis: Jersey Numbers**

Below are the jersey numbers of 11 players randomly selected from a football team. Your task is to calculate the range, variance, and standard deviation for the given sample data. Consider what these statistical results indicate about the distribution of jersey numbers.

Jersey Numbers: 29, 17, 36, 4, 88, 98, 99, 69, 72, 10, 52

---

**Instructions:**

1. **Range**: Determine the difference between the highest and lowest numbers.
2. **Variance**: Calculate the average of the squared differences from the mean.
3. **Standard Deviation**: Find the square root of the variance, which indicates how much the numbers typically deviate from the mean.

Reflect on what these calculations reveal about the spread and variability of the jersey numbers within this sample.
Transcribed Image Text:**Sample Data Analysis: Jersey Numbers** Below are the jersey numbers of 11 players randomly selected from a football team. Your task is to calculate the range, variance, and standard deviation for the given sample data. Consider what these statistical results indicate about the distribution of jersey numbers. Jersey Numbers: 29, 17, 36, 4, 88, 98, 99, 69, 72, 10, 52 --- **Instructions:** 1. **Range**: Determine the difference between the highest and lowest numbers. 2. **Variance**: Calculate the average of the squared differences from the mean. 3. **Standard Deviation**: Find the square root of the variance, which indicates how much the numbers typically deviate from the mean. Reflect on what these calculations reveal about the spread and variability of the jersey numbers within this sample.
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