To determine if there are any outliers in a dataset, we use the Interquartile Range (IQR) method. First, we calculate the IQR by finding the difference between the first quartile (Q1) and the third quartile (Q3). In this case, Q1 is 5 and Q3 is 15, so IQR = Q3 - Q1 = 15 - 5 = 10. Next, we calculate the lower fence (LF) and upper fence (UF) to identify potential outliers. The lower fence is calculated as LF = Q1 - 1.5 * IQR = 5 - 1.5 * 10 = 0. The upper fence is calculated as UF = Q3 + 1.5 * IQR = 15 + 1.5 * 10 = 30. Any data point below the lower fence or above the upper fence is considered an outlier. In this dataset, the value 35 is greater than the upper fence of 30, indicating that it is an outlier.