To determine whether the mean or median best represents the distribution shape indicated by the boxplot, we need to consider the characteristics of the boxplot and its parts.
In this case, the boxplot shows two boxes: one from 65 to 70 and another from 70 to 80. There are also lines extending from the boxes to the minimum (60) and maximum (100) values. This shape suggests that there is a concentration of data points between 65 and 80, with more data points likely clustered toward the lower end.
The presence of a long line extending to 100 indicates that there may be some outliers or a long tail on the right side of the distribution. This can skew the mean higher than the median. In distributions with long tails or outliers, the median is often a better measure of center because it is less affected by extreme values.
Given this analysis, since the boxplot indicates a potential skew and the median would better reflect the center of the data:
The answer is 1 for median.