In order to identify outliers using the interquartile range (IQR) and standard deviation, you need to follow specific steps for each method. For the IQR method, multiply the IQR by 1.5. Then, subtract this result from the first quartile (Q1) and add it to the third quartile (Q3). Any data points outside this range are considered outliers. For the standard deviation method, multiply the sample standard deviation by 3. Subtract this result from the mean and add it to the mean. Data points falling outside this range are identified as outliers. These calculations help determine which values in the data set are significantly different from the rest. Calculating the IQR for any outliers: 1, 9, 10, 12, 13, 14, 20, 21, 26, 27, 28, 30, 32, 35, 36, 36, 37, 40, 40, 42, 42, 45, 47, 48, 50, 51, 52, 52, 53, 57 Q1 (Lowest Quartile) = 21 ( 1, 9, 10, 12, 13, 14, 20, 21, 26, 27, 28, 30, 32, 35, 36,) Q2 (Median) = 36 ( 1, 9, 10, 12, 13, 14, 20, 21, 26, 27, 28, 30, 32, 35, 36, 37, 40, 40, 42, 42, 45, 47, 48, 50, 51, 52, 52, 53, 57 ) Q3 (Highest Quartile) = 47 ( 36, 37, 40, 40, 42, 42, 45, 47, 48, 50, 51, 52, 52, 53, 57) Calculate for the interquartile range using the calculated results IQR = (Q3-Q1) = 47 - 21 = 26 Therefore, the interquartile range is 26. Multiply the IQR result by 1.5 to get the values to be subtracted and added. = 26 X 1.5 = 39 I want you to expend this and solve the problem based on teh finromation provided