For the following data set approximate the sample standard deviation


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Find the standard deviation of the given data rounded to the nearest hundredth. 12, 53, 141, 219,500

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STEP 1: Compute the mean

The mean of the dataset is the sum of the elements divided by their number:

 \dfrac{12+53+141+219+500}{5}=185

STEP 2: Compute the residuals

You have to compute the difference between every element and the mean:

 12-185,\ 53-185,\ 141-185,\ 219-185,\ 500-185 = -173,\ -132,\ -44,\ 34,\ 315

Step 3: Square the residuals:

 29929,\ 17424,\ 1936,\ 1156,\ 99225

Step 4: Sum the squared the residuals:

 29929 + 17424 + 1936 + 1156 + 99225 = 149670

Step 5: Divide by the number of elements in the dataset:

 \dfrac{149670}{5} = 29934

Step 6: Consider the square root of the result:

 \sqrt{29934} \approx 173.01

The formula we used is

 \sigma = \sqrt{\dfrac{\left(\sum_{i=1}^n (x_i-\mu)\right)^2}{n}}

where  \sigma is the standard deviation,  x_i are the elements in the dataset,  n is the number of elements in the dataset, and  \mu is the mean of the dataset.



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