Final answer:
Without the box plot, we cannot determine the accuracy of the statements about data distribution. The box plot is essential for evaluating where the quartiles lie and the distribution of the dataset.
Step-by-step explanation:
To determine the accuracy of the statements provided, we refer to a box plot. A box plot visually represents data through the use of a box and whiskers, showing the distribution of a dataset. The box shows the interquartile range (IQR), representing the middle 50% of the data, and the whiskers extend to the minimum and maximum data points, not including outliers.
Analysis of Statements
Since we do not have the actual box plot (Figure A2), we cannot conclusively say whether statements A, B, C, and D are true or false. For a correct analysis, the box plot must be reviewed to validate these statements.