Exploring Box and Whisker Plots

This video tutorial covers the analysis and interpretation of box and whisker plots. It begins with an introduction to the components of box plots, including quartiles and medians. The tutorial then explains how to interpret data distribution within these plots, emphasizing the division of data into quartiles. Through various examples, the video demonstrates how to solve problems using box plots, focusing on calculating percentages of data within specific ranges. Advanced analysis techniques are also discussed, providing viewers with the skills to reason and apply box plot knowledge in practical scenarios.

What percentage of the data is represented by each section of a box and whisker plot?

• 50%

• 100%

• 25%

• 75%

If the value 42 is located between Q3 and Max, what percentage of the data is above 42?

• 100%

• 75%

• 50%

• 25%

In a box and whisker plot, what does the median represent?

• Average value of the dataset

• Middle value of the dataset

• Minimum value

• Maximum value

If the interquartile range (IQR) is 10 and the median is 44, where might Q1 be located?

• 39

• 34

• 49

• 54

If the median is located at 44, what percentage of the data is greater than 44?

• 50%

• 25%

• 100%

• 75%

What does the interquartile range (IQR) measure in a box and whisker plot?

• Range between the minimum and maximum values

• Variability outside the middle 50%

• Range between Q1 and Q3

• Total spread of the data

What percentage of the data is less than 49 if Q3 is at 49?

• 25%

• 50%

• 75%

• 100%

If Q3 is 81 and the IQR is 30, what is the likely value for Q1?

• 71

• 61

• 51

• 41

What percentage of the data is greater than 51 if Q1 is at 51?

• 25%

• 50%

• 75%

• 100%

If the upper quartile (Q3) is at 81 and the IQR is 30, what is the value of the lower quartile (Q1)?

• 111

• 61

• 51

• 41