step 2: for each data point, find the square of its distance to the mean.\nstep 3: sum the values from step…

step 2: for each data point, find the square of its distance to the mean.\nstep 3: sum the values from step 2.\nstep 4: divide by the number of data points.\nstep 5: take the square root.\nhere is our data set: 6,2,3,1\nstep 1: finding $mu$ in $sqrt{\frac{sum (x - mu)^2}{n}}$\nin this step, we find the mean of the data set, which is represented by the variable, $mu$.\nfill in the blank with your answer.\nstep 2: finding $(x - mu)^2$ in $sqrt{\frac{sum (x - mu)^2}{n}}$\nin this step, we find the distance from each data point to the mean (i.e., the deviations) and square each of those distances.\nfor example, the first data point is 6 and the mean is 3, so the distance between them is 3. squaring this distance gives us 9.\ncomplete the table below.\ndata point $x$ square of the distance from the mean

step 2: for each data point, find the square of its distance to the mean.\nstep 3: sum the values from step 2.\nstep 4: divide by the number of data points.\nstep 5: take the square root.\nhere is our data set: 6,2,3,1\nstep 1: finding $mu$ in $sqrt{\frac{sum (x - mu)^2}{n}}$\nin this step, we find the mean of the data set, which is represented by the variable, $mu$.\nfill in the blank with your answer.\nstep 2: finding $(x - mu)^2$ in $sqrt{\frac{sum (x - mu)^2}{n}}$\nin this step, we find the distance from each data point to the mean (i.e., the deviations) and square each of those distances.\nfor example, the first data point is 6 and the mean is 3, so the distance between them is 3. squaring this distance gives us 9.\ncomplete the table below.\ndata point $x$ square of the distance from the mean

Answer

Answer:

3