Answer: The range will be skewed.
Explanation:
Outliers in a distribution are those data points that are very different from the rest of the data points in a distribution. For instance, in the following distribution, 50 is an outlier; 1, 2, 3, 4, 5, 50.
Outliers affect the range the most because range is the difference between the highest and lowest data points in the observation. For instance, in the data set; 1, 2, 3, 4, 5, the range would be 5 - 1 = 4 but in the data set; 1, 2, 3, 4, 5, 50, the range would be; 50 - 1 = 49.
The range will be larger than most of the distribution so it will be skewed towards the highest data point which would be the outlier.
