Final answer:
For the given data set, the standard deviation is approximately 18.32.
Step-by-step explanation:
To find the standard deviation of a data set, follow these steps:
- Calculate the mean (average) of the data set.
- Subtract the mean from each data point and square the result.
- Calculate the mean of the squared differences.
- Take the square root of the mean from step 3 to find the standard deviation.
For the data set 44, 88, 40, 46, 83, 47, 47, 53, 52, 52, and 86:
- The mean is (44+88+40+46+83+47+47+53+52+52+86)/11 = 58.64
- Subtract the mean from each data point and square the result:
- (44-58.64)^2 = 208.27
- (88-58.64)^2 = 879.13
- (40-58.64)^2 = 344.88
- (46-58.64)^2 = 159.97
- (83-58.64)^2 = 595.48
- (47-58.64)^2 = 136.03
- (47-58.64)^2 = 136.03
- (53-58.64)^2 = 32.09
- (52-58.64)^2 = 44.76
- (52-58.64)^2 = 44.76
- (86-58.64)^2 = 757.53
- Calculate the mean of the squared differences: (208.27+879.13+344.88+159.97+595.48+136.03+136.03+32.09+44.76+44.76+757.53)/11 = 335.65
- Take the square root of 335.65 to find the standard deviation: √335.65 ≈ 18.32 (rounded to the nearest hundredth).
Therefore, the standard deviation of the data set is approximately 18.32.