To identify statistical outliers in Excel, you can use either the interquartile range (IQR) or the standard deviation (SD) method. However, it is important to note that blindly excluding outliers from your data is not recommended.

To use the IQR method, you can follow these steps:

1. Graph your data using an XY (Scatter) chart type to visually confirm any outliers.
2. Calculate the first quartile (Q1) and third quartile (Q3) using the QUARTILE function in Excel.
3. Calculate the IQR by subtracting Q1 from Q3.
4. Determine the threshold for an outlier by multiplying the IQR by a factor of 1.5 or 3 (mild or extreme, respectively).
5. Use the IF function in Excel to check if a data point is outside the threshold and label it as an outlier.

For example, if your data is in cells D1:D100, you can calculate Q1 in cell A1 using the formula , Q3 in cell A2 using the formula , and IQR in cell B1 using the formula . To check if D1 is an extreme outlier, you can use the formula .

To use the SD method, you can follow these steps:

1. Graph your data using an XY (Scatter) chart type to visually confirm any outliers.
2. Calculate the mean and standard deviation using the AVERAGE and STDEV functions in Excel.
3. Determine the threshold for an outlier by multiplying the SD by a factor of 3 or 4 (mild or extreme, respectively).
4. Use the IF function in Excel to check if a data point is outside the threshold and label it as an outlier.

For example, if your data is in cells D1:D100, you can calculate the mean in cell A1 using the formula and the standard deviation in cell B1 using the formula . To check if D1 is an extreme outlier, you can use the formula .

Remember to always visually inspect your data and use your judgment before labeling any data points as outliers.