Final answer:
Without additional information on the quartiles or the dataset, it is impossible to determine if a data value of 10 is an outlier according to the IQR method.
Step-by-step explanation:
According to the IQR method for determining outliers, a data value is considered a potential outlier if it falls more than 1.5 × IQR above the third quartile (Q3) or below the first quartile (Q1). To ascertain if a data value of 10 is an outlier, we would need to know the values of Q1 and Q3 for the given dataset. However, since the question does not provide enough information on the quartiles or the dataset, the conclusion regarding whether a data value of 10 is an outlier is impossible to determine without additional context.