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An outlier is a value that significantly differs from other data points in a dataset. In determining an outlier based on time, consider values that deviate from the mean by more than 1.5 times the interquartile range (IQR). For example, if most times fall between 10 to 20 minutes and you have a time of 40 minutes, that 40-minute mark would be an outlier! Identifying outliers isn't just about numbers; it can help reveal patterns or anomalies. For instance, in a study of running times, if most athletes clock between 25-30 minutes for a race, but one participant records a 50-minute run, it could indicate something unexpected—perhaps they faced an injury or were a beginner. Analyzing such outliers can lead to interesting insights!