Two sets of data are presented in the boxplots below.Referring to these boxplots, which one of the following statements is NOT true?

To address this question effectively, we could use logical reasoning about boxplots without assuming specific details about the data presented.

Step 1: Understanding Boxplots

Boxplots summarize data distributions, showcasing median, quartiles, and outliers. Typically, the key components observed in boxplots include:

1. Median: The line inside the box represents the median value.
2. Interquartile Range (IQR): The length of the box represents the range between the first quartile (Q1) and the third quartile (Q3).
3. Whiskers: Lines extending from the box indicate variability outside the upper and lower quartiles, often reaching the outermost data points that are not considered outliers.

Step 2: Analyzing the Statements

In order to determine which statement is NOT true, consider common aspects evaluated in boxplots, such as:

1. Comparison of median values between the two data sets.
2. Assessment of variability as reflected by IQR.
3. Identification of outliers.

Step 3: Review Each Statement

After carefully reviewing each statement provided, look for:

1. A contradiction concerning the median values.
2. Inconsistent claims about the spread or IQR of the data.
3. Any inaccuracies regarding the presence of outliers.

Conclusion

Since specific statements from the options are not provided, I cannot identify the exact incorrect statement. However, by leveraging the above logical structure, you can critically assess which statement about the boxplots does not hold true. Always ensure the accuracy of the statement in reference to the defined features of the boxplots you are analyzing. If you have specific statements you would like me to evaluate, please provide them for further assistance.