Choose the correct description of the mode below. A. The mode is the most common value in a data set. It can be strongly affected by outliers. B. The mode is the sum of all the values divided by the number of values. It is not affected by outliers. C. The mode is the middle value in a data set. It can be strongly affected by outliers. D. The mode is the most common value in a data set. It is not affected by outliers. E. The mode is the sum of all the values divided by the number of values. It can be strongly affected by outlie F. The mode is the middle value in a data set. It is not affected by outliers.

The correct description of the mode is: D. The mode is the most common value in a data set. It is not affected by outliers. This means that even if you have some extreme values in your data, the mode remains the same as it simply identifies the value that appears most frequently, regardless of the presence of those outlier values. To dive a little deeper into statistics, the mode can even exist in situations where there's no unique value that appears most often. In that case, you could have a bimodal or multimodal distribution, which means there are two or more modes! It’s a fascinating way to look at data that gives you insight into the distribution of values.