Asked by BlUbArRy!2#
Use the table to answer the question.
Find the standard deviation of the data set, rounded to the nearest hundredth.
(2 points)
Data Point 15 18 11 17 14
Difference
3
2 −1
Squared 0 9
4 1
Find the standard deviation of the data set, rounded to the nearest hundredth.
(2 points)
Data Point 15 18 11 17 14
Difference
3
2 −1
Squared 0 9
4 1
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To find the standard deviation of the data set, we need to follow these steps:
1. **Calculate the Mean**:
- Data Points: 15, 18, 11, 17, 14
- Mean = (15 + 18 + 11 + 17 + 14) / 5 = 75 / 5 = 15
2. **Find the Differences from the Mean**:
- Differences:
- 15 - 15 = 0
- 18 - 15 = 3
- 11 - 15 = -4
- 17 - 15 = 2
- 14 - 15 = -1
3. **Square the Differences**:
- Squared Differences:
- 0² = 0
- 3² = 9
- (-4)² = 16
- 2² = 4
- (-1)² = 1
4. **Calculate the Variance**:
- Variance = (Sum of Squared Differences) / (Number of Data Points)
- Variance = (0 + 9 + 16 + 4 + 1) / 5
- Variance = 30 / 5 = 6
5. **Calculate the Standard Deviation**:
- Standard Deviation = √Variance
- Standard Deviation = √6 ≈ 2.45 (rounded to the nearest hundredth)
Therefore, the standard deviation of the data set is approximately **2.45**.
1. **Calculate the Mean**:
- Data Points: 15, 18, 11, 17, 14
- Mean = (15 + 18 + 11 + 17 + 14) / 5 = 75 / 5 = 15
2. **Find the Differences from the Mean**:
- Differences:
- 15 - 15 = 0
- 18 - 15 = 3
- 11 - 15 = -4
- 17 - 15 = 2
- 14 - 15 = -1
3. **Square the Differences**:
- Squared Differences:
- 0² = 0
- 3² = 9
- (-4)² = 16
- 2² = 4
- (-1)² = 1
4. **Calculate the Variance**:
- Variance = (Sum of Squared Differences) / (Number of Data Points)
- Variance = (0 + 9 + 16 + 4 + 1) / 5
- Variance = 30 / 5 = 6
5. **Calculate the Standard Deviation**:
- Standard Deviation = √Variance
- Standard Deviation = √6 ≈ 2.45 (rounded to the nearest hundredth)
Therefore, the standard deviation of the data set is approximately **2.45**.
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