Two classes, 8A and 8B, collect data on the time it takes students to get to school.This information has been summarised on the box plots below.

It seems that the information needed to analyze the box plots, such as specific numeric data points or descriptions of the box plots themselves, is missing. Therefore, I'm unable to perform a detailed analysis or provide specific numerical steps without the actual box plot data.

However, I can outline the general approach you would take to compare the data visually represented in box plots:

1. Break Down the Problem

   • Determine the key elements of the box plots: median, quartiles, range, potential outliers.
   • Compare these elements between class 8A and class 8B.

2. Relevant Concepts

   • Understand that a box plot consists of several parts:
     • The minimum value (excluding outliers)
     • The first quartile (Q1)
     • The median (Q2)
     • The third quartile (Q3)
     • The maximum value (excluding outliers)
     • Outliers, if present, are indicated separately.

3. Analysis and Detail

   • Identify and note the median values of both classes to compare central tendencies.
   • Look at the interquartile range (IQR = Q3 - Q1) to understand the spread of the middle 50% of the data in both classes.
   • Examine the ranges and check for outliers.

4. Verify and Summarize

   • Summarize findings about how the transportation times compare, including which class has a longer or more variable time to school.
   • Discuss any implications of significant differences in data trends.

Final Answer

Without the specific details of the box plots, I cannot provide exact data comparisons. However, by following the outlined steps, you can conduct a thorough analysis once you have the relevant numeric details. If you have specific details from the box plots, please share them for a more focused analysis.