Understanding Box Plots and Data Analysis

Mrs. Nelson teaches sixth-grade students how to create and analyze box plots using a five-number summary. The lesson involves a study on blinking, where students learn to construct dot plots and box plots, identify the median, quartiles, and interquartile range, and understand data distribution and variability.

What is the main objective of the lesson on boxplots?

• To compare different types of plots

• To learn how to calculate the mean of a data set

• To understand how to use a five-number summary to draw a box plot

• To explore the history of boxplots

What was the study about in the data set used for the lesson?

• The number of times people blink while reading

• The number of times people blink while exercising

• The number of times people blink while watching a video game

• The number of times people blink while sleeping

What is the median value in the given data set?

• 12

• 15

• 51

• 21

Which value represents the first quartile (Q1) in the data set?

• 12

• 21

• 3

• 15

What is the maximum value in the five-number summary?

• 21

• 12

• 51

• 3

What does the interquartile range (IQR) represent in a box plot?

• The range of the entire data set

• The sum of all data points

• The average of the data set

• The middle 50% of the data

What is the purpose of the 'whiskers' in a box plot?

• To show the mean of the data

• To indicate the range of the middle 50% of the data

• To display the mode of the data

• To represent the minimum and maximum values

How is the data distributed in the interquartile range?

• It is the least alike

• It is the most alike

• It is the most variable

• It is the most spread out

What percentage of the data does each section of the box plot represent?

• 25%

• 75%

• 50%

• 10%

Why is the interquartile range important in data analysis?

• It indicates where the data is most alike

• It shows the total range of the data

• It highlights the most variable part of the data

• It represents the average of the data