Answer: D) 40
Explanation:
To determine the outliers in a stemplot showing the number of home runs hit by each of the 30 major league baseball teams in a single season, we need to understand the concept of outliers.
An outlier is a data point that is significantly different from the rest of the data. It is usually identified by being either much smaller or much larger than the other values.
In this case, since we are looking for the home run totals that should be considered outliers, we need to determine the threshold above which a value would be considered significantly different from the rest.
To do this, we can look for any home run total that is considerably higher than the others in the dataset. We need to consider the range and distribution of the home run totals to make a determination.
Without specific information about the distribution of the home run totals, we cannot definitively identify the exact value above which a home run total should be considered an outlier. However, we can make an educated estimate.
Given that there are 30 major league baseball teams, it is likely that home run totals above a certain value would be considered outliers. It is reasonable to assume that any home run total significantly higher than the average or the majority of the values could be considered an outlier.
Based on the options given, the most conservative estimate for identifying outliers would be to consider home run totals above 40 (option D) as outliers.
Please note that the actual determination of outliers depends on the specific dataset and context. Without more information, this is an estimate based on general understanding.