To find the standard deviation of the data set, we need to follow these steps:
-
Calculate the Mean:
- Data Points: 15, 18, 11, 17, 14
- Mean = (15 + 18 + 11 + 17 + 14) / 5 = 75 / 5 = 15
-
Find the Differences from the Mean:
- Differences:
- 15 - 15 = 0
- 18 - 15 = 3
- 11 - 15 = -4
- 17 - 15 = 2
- 14 - 15 = -1
- Differences:
-
Square the Differences:
- Squared Differences:
- 0² = 0
- 3² = 9
- (-4)² = 16
- 2² = 4
- (-1)² = 1
- Squared Differences:
-
Calculate the Variance:
- Variance = (Sum of Squared Differences) / (Number of Data Points)
- Variance = (0 + 9 + 16 + 4 + 1) / 5
- Variance = 30 / 5 = 6
-
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.